Vena vs. Pigment: Feature, Pricing & Enterprise Readiness Comparison Guide 2026
Two planning platforms that finance teams shortlist together, built on opposite assumptions about where planning should happen: inside Excel, or inside a purpose-built modelling engine.
The Short Answer
Vena is an Excel-native planning platform: the spreadsheet stays the interface and a central database, workflow engine and audit trail sit behind it. Pigment is a purpose-built business planning platform with its own multidimensional modelling engine and web interface; Excel and Google Sheets connect to it through add-ins that push and pull data.
They are direct competitors. Both appeared in the 2025 Gartner Magic Quadrant for Financial Planning Software — Vena as a Challenger, Pigment as a Visionary — and both sell to finance teams replacing spreadsheet-only planning. Neither publishes list pricing.
The decision is rarely about feature count. It is about whether your team wants to keep planning inside Excel with governance added underneath, or move the model out of Excel and use the spreadsheet only as an endpoint.
Every capability claim below is drawn from vendor documentation, vendor trust centres, product marketplace listings or named third-party research, is dated, and is linked to its source at the point the claim is made rather than only in the list at the end. Where something is genuinely not published, the guide says so rather than guessing. Pricing that comes from procurement datasets rather than vendors is labelled as an estimate. Datarails publishes this guide and competes with both products; the methodology applied to Vena and Pigment is the same one applied to Datarails in guides where Datarails is compared.
Why Finance Teams Compare Vena and Pigment
Comparing planning software on feature lists rarely settles anything. Vena and Pigment both advertise budgeting, forecasting, scenario planning, reporting, workflow and AI. Both integrate with the same ERPs and CRMs. Both sell to the same job title. On a checklist they converge; in a deployment they behave very differently, because they answer the core architectural question in opposite ways.
Vena treats Microsoft Excel as the planning interface. Templates are Excel workbooks; contributors submit budgets in Excel; reports are built on an Excel grid. Underneath sits a central database, a workflow engine and an audit trail, so the spreadsheet is governed rather than replaced. Pigment treats the model as the product. Data lives in a multidimensional engine with its own web interface for building blocks, metrics and dashboards, and Excel becomes one of several connected endpoints rather than the place where planning happens.
The difference shows up in price. Vendr, which publishes medians from observed SaaS transactions, lists a median annual contract of roughly $34,000 for Vena and roughly $74,000 for Pigment (Vendr marketplace, accessed September 2026). Different customer mixes sit behind each figure, so this is not a like-for-like quote — but the gap matches how the two are positioned and sold.
Independent analyst placement points the same way. In the 2025 Gartner Magic Quadrant for Financial Planning Software, published 1 December 2025, Vena was named a Challenger and Pigment a Visionary for the second consecutive year — Gartner’s shorthand for a vendor executing well in an established way versus one pushing the category’s direction.
What This Choice Looked Like in My Own Finance Team
At JL Clark, our planning was disconnected from the start. Every budget cycle I sent out more than 40 spreadsheets and hoped people emailed them back on time. Then the real work started: consolidating all of them into one three-statement model. That held together until someone “helped” by adding a row or a column to their workbook, and every link downstream quietly broke. I spent more time repairing the model than analysing what was in it.
Moving to a platform fixed the mechanics fast. The people part took longer. For the first time we had an audit trail of every input, and comparing actuals to budget took a click instead of a week. That was great for finance. But a department head who used to submit a number and never hear about it again felt watched.
The team wasn’t pushing back on the software. They were pushing back on the accountability that came with it.
— Annette DeYoung, Senior Manager, Partner Solutions and Enablement, Datarails
- When a contributor changes the structure of their input, does the model break, or does the system stop the change? This is the failure mode nobody demos. A demo file has no one adding a column to it.
- What does the audit trail look like to the contributor, not just to finance? The same log reads as governance from one side of the business and surveillance from the other.
- How do I roll out budget-versus-actual visibility so it does not feel like a gotcha? Ask for the change-management playbook, not just the feature.
None of those are answered by a feature table, and they decide whether the platform is still being used properly in year two.
What Is Vena?
Vena is a corporate performance management and FP&A platform built around Microsoft Excel, founded in 2011 and headquartered in Toronto, Canada. Finance teams plan in Excel templates that read from and write to Vena’s central database, so budgeting, forecasting, reporting, consolidation and account reconciliation run through governed spreadsheets rather than emailed workbooks.
The platform is deliberately anchored in the Microsoft stack. Its database engine, CubeFLEX, is built for Excel-scale planning models; Vena Insights delivers analytics through embedded Power BI; Vena Copilot brings agentic AI into Excel and Microsoft Teams; and Vena for PowerPoint links slides to live planning data. Vena reports more than 2,000 customers worldwide and expanded twice in 2026: it completed the acquisition of Acterys, a Power BI–based operational planning platform, in March 2026, and announced an agreement to acquire Morpheo AI, an agentic data platform, in July 2026 (ERP Research, updated August 2026).
What Is Pigment?
Pigment is a business planning and performance management platform founded in 2019 in Paris, France, by Eléonore Crespo and Romain Niccoli. It is used for financial planning alongside sales, workforce and supply chain planning, with the stated aim of putting finance and operational teams on a single connected model.
Planning happens in Pigment’s own interface: users build dimensions, metrics and transaction lists in a multidimensional engine, then publish boards and dashboards on top. Its AI layer is central to current positioning — the Analyst Agent answers questions and runs variance analysis, the Modeler Agent assists with building models, and Pigment publishes an MCP server for connecting external AI tools. Pigment raised a $145 million Series D led by ICONIQ Growth in April 2024 at a $1 billion valuation, employs roughly 795 people, and names Unilever, Merck, Datadog and Keolis among enterprise customers.
Vena vs. Pigment at a Glance
| Category | Vena | Pigment |
|---|---|---|
| Core category | Excel-native FP&A / corporate performance management | Business planning and performance management platform |
| Primary interface | Microsoft Excel, plus a web layer and Power BI | Pigment web application |
| Founded / HQ | 2011 · Toronto, Canada | 2019 · Paris, France |
| AI | Vena Copilot agents in Excel and Teams; Vena Insights analytics | Pigment AI: Analyst Agent, Modeler Agent, Predictions, MCP server |
| Analyst placement (2025 Gartner MQ, Financial Planning Software) | Challenger | Visionary (second consecutive year) |
| Published pricing | No. Two named plans: Professional and Complete | No. Tier names not published on pigment.com |
| Third-party median annual contract | ~$34,000 (Vendr, accessed Sept 2026) | ~$74,000 (Vendr, accessed Sept 2026) |
| Security attestations | SOC 1 and SOC 2 Type II, audited by Deloitte; CSA Trusted Cloud Provider | SOC 1 Type II, SOC 2 Type II, ISO 27001, CSA STAR Level 1 |
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Read the table as one decision, not eight. Vena’s rows describe a platform that meets finance where it already works and adds control; Pigment’s rows describe a platform that asks finance to model somewhere new and offers reach across other functions in return. Everything else — pricing, implementation effort, who administers the system — follows from that.
Vena vs. Pigment: Feature-by-Feature Comparison
The rows below are chosen for this pairing specifically: spreadsheet connectivity, modelling, forecasting, reporting and AI are where these two products actually diverge. Capability presence is not capability quality — a tick means the function exists and is documented, not that it will suit your model.
| Capability | Vena | Pigment |
|---|---|---|
| Primary purpose | Excel-native planning, reporting and close | Connected business planning across functions |
| Budgeting | YesExcel templates with contributor workflow | YesNative budgeting applications |
| Forecasting and rolling forecasts | YesBudgeting, rolling forecasts and cash flow planning | YesRolling forecasts on the shared model |
| Scenario / what-if planning | YesScenario modelling; simulations via Copilot | YesReal-time scenario comparison |
| Multidimensional modelling engine | YesCubeFLEX | YesNative sparse modelling engine |
| Excel as planning interface | YesCore design | PartialExcel add-in pushes and pulls data; modelling stays in Pigment |
| Google Sheets connector | Not documentedNot documented as a supported interface | YesGoogle Workspace add-on |
| PowerPoint / deck automation | YesVena for PowerPoint | YesPigment Connector for PowerPoint |
| Dashboards and visual reporting | YesVena Insights, built on embedded Power BI | YesNative boards and dashboards |
| Financial consolidation | YesConsolidation and close capabilities in platform | PartialMulti-entity modelling supported; positioned as planning, not a close suite |
| Account reconciliation / close management | YesAccount reconciliation in the platform | NoNot a stated product area |
| Workforce planning | YesWorkforce and headcount planning | YesA published use case |
| Sales / revenue planning | YesOperational planning, extended by Acterys | YesA core published use case |
| Supply chain planning | Not documentedNot listed as a product area | YesPublished use case |
| AI assistant | YesVena Copilot, in Excel and Microsoft Teams | YesPigment AI, in the platform |
| AI agents | YesPlanning, Reporting, Analytics and Query agents | YesAnalyst Agent and Modeler Agent |
| Statistical / ML forecasting | YesPredictive capability within Vena Insights | YesPredictions |
| MCP server for external AI tools | Not documentedNot publicly documented | YesPublished MCP server |
| ERP integrations | YesIncludes NetSuite, Sage Intacct, Dynamics 365 Business Central and Finance, SAP, Acumatica, QuickBooks, Xero | YesNative connectors to ERP, CRM, HRIS and data warehouses |
| Open API | YesPlatform APIs listed in both plans | YesImport and export API keys documented |
| SSO | YesSAML 2.0 | YesSAML 2.0, plus SCIM provisioning and Google Login |
| Multi-factor authentication | YesCustomer-configurable | YesPlus domain allowlisting |
| Role-based access control | YesSecurity and permissions in both plans | YesRBAC plus attribute-based data access rights |
| Audit trail | YesA core reason teams govern Excel with Vena | YesDocumented in Pigment’s security materials |
| Encryption at rest | YesAES-256, including backups | YesDocumented in trust centre |
| Sandbox environment | PartialIncluded in the Complete plan | Not documentedNot described in public pricing terms |
| Published pricing | NoQuote-based | NoQuote-based |
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“Not documented” is not the same as “No”. Vena does not publicly document a Google Sheets interface, an MCP server or SCIM provisioning, and Pigment does not publish sandbox terms — in each case the capability may well exist. Those are questions for the vendor call, not scoring deductions.
Deep Feature Analysis: Vena vs. Pigment
Excel and Spreadsheet Connectivity
Excel is the front end. Planning templates are workbooks; contributors open a familiar sheet, enter numbers and submit, and the values land in Vena’s central database with version history and an audit trail. Reporting uses an Excel grid connected to the CubeFLEX database, and the same Microsoft-stack logic extends to Teams, Power BI and PowerPoint.
Excel is a connected surface. The Pigment Connector for Excel is a free Office add-in on Microsoft AppSource that lets users pull data from a Pigment view into a sheet and push a range of cells back into Pigment through an import configuration. Equivalent connectors exist for Google Sheets and PowerPoint. The model itself is not built or maintained in the spreadsheet.
This is the decision underneath the decision. If your analysts’ institutional knowledge lives in spreadsheet logic, Vena preserves it and adds governance underneath. If the spreadsheets are the problem you are buying software to remove, Pigment’s model-first approach is the point, and the add-in covers the last mile. Test it with your own workbook, not a demo file — a real template with nested formulas, hidden columns and a multi-level rollup separates “Excel-connected” from “Excel-native” in about twenty minutes. Annette sets out two harder tests most buyers never run: making a structural change, and refreshing a second time.
Almost 90% of Finance Work Still Runs Through Excel
89% of finance professionals say more than half of their financial processes and workflows, from forecasting to month-end close, run through Excel. That reliance is not expected to fade: 84% predict Excel will be as important or more important to the CFO’s office in ten years, despite advances in AI. For teams choosing between an Excel front end and a model-first platform, that is how much existing spreadsheet work the decision touches.
Finance professionals spend an average of 5.4 hours a day in Excel — about two-thirds of an eight-hour workday.
Source: Datarails, Excel Generations, 212 respondents, full-time finance professionals in the US and UK, October 2025. Read the full research.
Modelling Engine and Structure
CubeFLEX is Vena’s proprietary database, described as a hybrid transactional/analytical engine engineered for Excel-scale planning models. Structure is defined in the platform, but modelling logic is frequently expressed in the workbook, which keeps the barrier to entry low for spreadsheet-fluent analysts and puts the maintenance burden in the same place.
Pigment models are built from dimensions, metrics, transaction lists and blocks in the platform’s own editor, on a sparse engine intended to keep large, multi-dimensional models performant. Logic is written once in the model and inherited by every view of it, which is stricter to author and cleaner to maintain at scale.
Structural change is where this is decided, and it is the failure mode described in the section above: one contributor adds a column, and every downstream link breaks quietly. Model maintenance is the cost buyers underestimate. Excel-expressed logic is fast to change and easy to change badly; platform-expressed logic is slower to author and harder to break silently. If your planning model is re-cut every quarter by two or three power users, Vena’s approach matches how that team already works. If ten people across three functions depend on the same driver definitions, Pigment’s approach prevents the drift.
Forecasting and Scenario Planning
Vena supports budgeting, rolling forecasts, what-if scenario modelling, cash flow planning, workforce planning and capital expenditure planning, with predictive capability delivered through Vena Insights. Copilot’s agents can generate forecasts, run what-if simulations and surface seasonal patterns from natural-language prompts inside Excel or Teams.
Scenario comparison is a headline capability: alternate versions of a plan sit side by side on the same model and update in real time. Predictions applies statistical and machine-learning models to generate forecasts without requiring data science skills, and Insights automates variance and contribution analysis with written summaries.
Both do scenarios; they differ in who runs them. In Vena, a scenario typically starts with an analyst in a workbook. In Pigment, it is a property of the shared model that a non-finance stakeholder can view without touching a spreadsheet. If your scenarios are debated in a management meeting by people who do not open Excel, that distinction is worth more than any forecasting-algorithm comparison.
Reporting, Analytics and Distribution
Reporting splits in two: Excel-grid reports connected to CubeFLEX for finance-grade detail, and Vena Insights — embedded Microsoft Power BI — for interactive dashboards, mobile access and natural-language querying. Vena for PowerPoint links slides to live data so board decks refresh instead of being rebuilt.
Reporting is native. Boards and dashboards are built on the same model that holds the plan, so a chart and the number behind it cannot drift apart. The PowerPoint connector imports tables and charts that refresh on demand, and the Excel and Google Sheets connectors cover spreadsheet-based distribution.
Vena’s Power BI dependency is a genuine advantage where Power BI is already the corporate standard and a genuine consideration where it is not — it can mean another licence, another skillset and another team in the dependency chain. Pigment’s native reporting avoids that, at the cost of not plugging into an existing Power BI practice as directly. Ask each vendor who owns dashboard changes after go-live: finance, or BI?
AI and Automation
Vena Copilot is an agentic assistant built on Microsoft Azure OpenAI that dynamically coordinates a set of agents — Planning, Analytics, Reporting and Query among them — grounded by a context engine Vena calls Omega. Its distinguishing characteristic is location: it runs where finance already works, inside Excel and Microsoft Teams, rather than in a separate application.
Pigment positions AI as foundational rather than added. The Analyst Agent answers business questions and performs variance analysis; the Modeler Agent assists with building and adapting models; Predictions handles statistical forecasting; and a published MCP server lets external AI tools query Pigment data through a standard protocol. Dresner Advisory Services ranked Pigment first for agentic AI in enterprise performance management (2026).
The distinction is architectural. Vena bets on AI meeting finance inside Microsoft’s surfaces; Pigment bets on AI operating over a governed central model and being reachable by other tools through MCP. Both roadmaps move faster than any comparison page, so test on your own data — and ask the question that separates them: what exactly can the agent see, and what stops it answering confidently from a stale dataset?
Data and Integrations
Vena integrates with common finance systems including NetSuite, Sage Intacct, Microsoft Dynamics 365 Business Central and Finance, SAP, Acumatica, QuickBooks and Xero, with a direct self-serve integration for Business Central. Platform APIs are included in both published plans, and the Microsoft alignment extends to Azure hosting.
Pigment provides native connectors to ERP, CRM, HRIS and data warehouse systems, plus flat-file import and documented import/export API keys used by third-party platforms such as Workiva to pull Pigment data into reporting chains. Its connector set reflects the cross-functional positioning: revenue and people systems matter as much as the general ledger.
Connector lists look identical and diverge in the detail. Four questions separate them: is the sync scheduled or real-time, does it write back, what happens when someone adds a dimension upstream, and who fixes it when it fails at 06:00 on close day? Ask for the connector version for your exact ERP, not the logo wall.
Collaboration and Workflow
Workflow and collaboration are listed capabilities in both Vena plans: budget submission routing, approvals, task ownership and status tracking across contributors, with the audit trail recording who changed what. Copilot in Microsoft Teams extends conversation about numbers into the channel where the rest of the business already talks.
Collaboration is built into the shared model — multiple functions work on the same objects rather than exchanging files. Sequences provides a guided experience for occasional or non-expert users so a department head can contribute without training on the full modelling interface.
The test is what your least technical contributor does in budget season. Vena’s answer is “opens a spreadsheet they already understand.” Pigment’s answer is “opens a guided flow in a purpose-built app.” Neither is better in the abstract; the right one depends on whether your contributors are finance-adjacent analysts or operational managers who resent spreadsheets.
Vena vs. Pigment Pricing
Neither vendor publishes list pricing. Both quote per organisation based on user counts, user types, modules or use cases, and contract term, and both treat implementation as a separate line. Any per-seat figure circulating on comparison sites is a third-party estimate, and the estimates conflict with each other substantially — a reason to treat the ranges below as negotiating context rather than budget.
| Pricing factor | Vena | Pigment |
|---|---|---|
| Public pricing | Not disclosed | Not disclosed |
| Published plan names | Professional and Complete | None published on pigment.com |
| Pricing model | Annual subscription; licensing by seat type (power user, contributor, view-only) plus modules | Annual subscription; platform fee plus seats and licensed use cases |
| What separates the tiers | Complete adds Vena Insights, premium support, a sandbox environment and expert managed services on top of Professional | Not publicly documented |
| Median annual contract | ~$34,000 (third-party estimate: Vendr marketplace, accessed Sept 2026) | ~$74,000 (third-party estimate: Vendr marketplace, accessed Sept 2026) |
| Implementation | Priced separately; delivered by Vena professional services or certified partners | Priced separately; delivered by Pigment or partners including Deloitte, which has an alliance with Pigment in the US, UK, France and Belgium |
| Named add-ons | Sandbox, premium support and managed services where not already in Complete | Not publicly documented |
| Free trial | Not offered as self-serve | Not offered as self-serve; demo and proof-of-concept instead |
| Contract | Annual, custom-quoted | Annual, custom-quoted |
| Support | Standard support and a customer success manager in Professional; premium support in Complete | Not publicly documented as a tiered entitlement |
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Vendr’s medians come from observed transactions in its procurement dataset, not from vendor list prices, and the customer mixes behind the two medians are not identical — Pigment’s is weighted toward larger, multi-function deployments. The gap is directionally useful and should not be used as a quote benchmark. Published third-party estimates for Vena in particular range from about $5,000 a year for a small Professional deployment to six figures for multi-entity enterprise rollouts, which tells you the range is wide rather than that any single number is right.
Pricing Transparency Across This Category
Neither Vena nor Pigment publishes a price or a range. That is normal for FP&A and corporate performance management software, and it is also the single biggest source of friction in the evaluation: a finance team cannot build a budget for the project until it has run two full sales cycles. It is worth knowing which vendors in the wider category break that pattern, because it changes how long a shortlist takes to assemble.
| Vendor | Publishes a price? | What is public |
|---|---|---|
| Vena | No | Two plan names, Professional and Complete, with feature inclusions but no figures |
| Pigment | No | No published tiers or figures |
| Anaplan | No | Quote-based |
| Planful | No | Quote-based |
| Workday Adaptive Planning | No | Quote-based |
| Datarails | Ranges, not list prices | Typical annual ranges by team size: around $25,000 for smaller teams, $40,000–$80,000 mid-market, above $100,000 enterprise. Plan inclusions are published on the pricing page |
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Datarails also prices by quote, but it states typical ranges up front: smaller finance teams start at around $25,000 a year, mid-market teams usually pay $40,000 to $80,000, and enterprise deployments run above $100,000.
Every plan is built on FinanceOS, so data consolidation, governance, Datarails AI Agents and the FinanceOS AI Connector are included from the entry-level Professional plan, and the quote moves with users, source-system connections, support level and any products added. Implementation is a one-time onboarding fee scoped to the setup and delivered by Datarails’ own team, with no third-party consultants. For a finance team, the practical effect is that a budget range exists before the first call rather than after the third.
What Each Vendor Claims About Return on Investment
Pigment commissioned Forrester Consulting to produce a Total Economic Impact study, published December 2023. It reports a 306% ROI over three years for a composite organisation, with payback in under six months — benefits of $8.13 million against costs of $2.00 million, giving a net present value of $6.13 million. The composite organisation has $1.3 billion in turnover and roughly 7,000 employees.
Read the methodology before the headline. The composite is built from interviews with four Pigment customers, and Forrester states in the study itself that it is commissioned by Pigment and is not meant to be used as a competitive analysis. A commissioned TEI is a framework for building your own business case, not a measured result you should expect to repeat. Vena has not published an equivalent commissioned TEI study that we could locate.
Three cost questions matter more than the licence line in both cases: what the implementation actually costs in year one, which capabilities sit behind a higher tier or an add-on, and what the annual uplift is at renewal. Ask for all three in writing before comparing totals.
Enterprise Readiness: Vena vs. Pigment
Only attestations each vendor publishes or documents are listed, taken from Vena’s security and compliance page and Pigment’s security page in September 2026. Anything not published is marked “Not documented” rather than assumed absent — request current reports directly, since attestation periods lapse.
| Control | Vena | Pigment |
|---|---|---|
| SOC 1 | YesType II, audited by Deloitte, available on request | YesType II, published in trust centre |
| SOC 2 | YesType II, audited by Deloitte, available on request | YesType II, published in trust centre |
| ISO 27001 | Not documentedNot claimed on Vena’s trust page; Vena states its data centres are ISO 27001 certified | YesCertified, announced 29 April 2026, with Statement of Applicability in the trust centre |
| CSA | YesTrusted Cloud Provider member | YesCSA STAR Level 1 |
| GDPR | YesParticipant in TRUSTe’s enterprise privacy and data governance certification programme | YesCovered by compliance programme, alongside CCPA/CPRA |
| SSO | YesSAML 2.0, with optional IP restriction | YesSAML 2.0 with any compliant IdP, plus Google Login |
| SCIM provisioning | Not documentedNot listed on Vena’s trust page | YesSCIM user provisioning |
| MFA | YesCustomer-configurable | YesPlus domain allowlisting |
| Access control granularity | YesSecurity and permissions model | YesRBAC plus attribute-based data access rights |
| Encryption | YesAES-256 at rest including backups; TLS 1.2+ in transit | YesDocumented in trust centre |
| Architecture | Zero-trust security architecture; customer data isolation; Microsoft Azure | Secure Implementation Guidebook issued to customer security teams on request |
| Penetration testing evidence | Not documentedNot published publicly | YesExecutive summary available in trust centre |
| SOX support | YesSOC 1 exists precisely for controls over financial reporting | YesStates customers can operate Pigment in line with relevant Sarbanes-Oxley provisions |
| Multi-entity / multi-currency | YesMulti-entity and multi-currency supported | YesMulti-entity and multi-currency supported |
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The practical difference is disclosure style rather than posture. Pigment runs a self-service trust centre where a security reviewer can pull the SOC reports, the ISO certificate and a penetration-test summary without a sales conversation, which shortens vendor review. Vena’s SOC 1 and SOC 2 Type II reports are Deloitte-audited and released on request. If your security team’s timeline is the critical path, that difference is worth raising early.
Commercial Momentum
In March 2026 Pigment announced it was approaching $100 million in annual recurring revenue, having doubled ARR for a third consecutive year. Fortune reported the same milestone alongside 74% growth in the enterprise customer base, 57% of new revenue coming from enterprise customers, and named customers including Uber, Unilever, Anthropic and Siemens. Pigment has raised close to $400 million in total and crossed a $1 billion valuation in 2024. These are company-reported figures rather than audited accounts, which is normal for a private company and worth stating plainly.
One number in that release matters more to a buyer than the revenue headline: Pigment says 56% of its new customers in 2025 migrated from a legacy planning vendor. Whatever you make of the framing, it describes a market in active replacement rather than first-time purchase — which is the situation most teams reading this guide are in.
Vena is privately held and does not publish revenue figures, so no equivalent comparison is possible. Its customer base of more than 2,000 organisations describes an established position rather than a growth story, and the absence of published revenue should not be read as a signal either way.
Implementation and Time to Value
Neither vendor publishes standard implementation timelines, and this guide will not invent one. Published third-party estimates vary from a couple of months to well over six, driven by the same variables in both cases: number of source systems, complexity of the data model, whether multi-entity consolidation is in scope, and how much legacy spreadsheet logic is being rebuilt.
| Dimension | Vena | Pigment |
|---|---|---|
| Delivery model | Vena professional services or certified partners; expert managed services bundled in the Complete plan | Pigment services or partners, including a Deloitte alliance across the US, UK, France and Belgium |
| What gets built | Data connections, central model and the Excel template set your team will actually use | Data connections and the Pigment model: dimensions, metrics, blocks and boards |
| Finance team involvement | High — finance usually owns and maintains the templates | High during build, then concentrated in a smaller group of model owners |
| IT involvement | Integration and SSO setup; higher where Power BI is part of the reporting plan | Integration, SSO and SCIM setup |
| Change management load | Lower for contributors, who stay in Excel | Higher for contributors, who learn a new interface; Sequences is designed to reduce it |
| Testing environment | Sandbox included in the Complete plan only | Not publicly documented |
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For a sense of the honest range in this category, Forrester’s Total Economic Impact study of Anaplan declined to give a point estimate for implementation at all, describing it instead as anywhere between twelve weeks and two years. That is not evasion — it reflects how much the answer depends on scope. Treat any vendor that offers a confident single number without first asking about your entity count, source systems and model complexity as having answered a different question from the one you asked.
Five questions produce a more reliable estimate than any published range: how many source systems are in phase one; who writes the model, the vendor or your team; what happens to your existing workbooks; whether multi-entity consolidation is in scope on day one; and who owns changes in month six. Ask both vendors for a reference customer of similar size and ERP, and ask that customer how long phase one actually took against the original plan.
Vena vs. Pigment Use Cases
| Use case | Vena | Pigment | Key difference |
|---|---|---|---|
| Annual budgeting with many contributors | Strong | Strong | Contributors submit in Excel with Vena; in a guided Pigment flow with Pigment |
| Rolling forecasts | Strong | Strong | Similar outcome; Pigment updates the shared model in real time, Vena refreshes through the workbook layer |
| Complex driver-based modelling | Good, with model logic often held in Excel | Strong, with logic held centrally in the model | Authoring speed versus long-run maintainability |
| Management and board reporting | Strong — Excel reports, Power BI dashboards, linked PowerPoint | Strong — native boards, linked PowerPoint | Whether Power BI is already your reporting standard |
| Financial consolidation | Supported in-platform | Modelled, not positioned as a close suite | Vena covers more of the close and reconciliation workflow |
| Month-end close and reconciliation | Supported | Not a stated product area | A clear scope difference, not a nuance |
| Workforce planning | Supported | Supported | Pigment is more often bought with HR as a joint owner |
| Sales and revenue planning | Supported; broadened by the Acterys acquisition | A core published use case | Pigment is designed for RevOps to plan on the same model as finance |
| Supply chain planning | Not publicly documented | Published use case | Relevant only if operations planning is in scope |
| Ad-hoc analysis by a spreadsheet-fluent team | Strong | Good, via the Excel connector | Vena’s home ground |
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When Each Platform May Be the Better Fit
There is no winner here, and any comparison that declares one is selling something. There are conditions.
When Vena May Be a Better Fit
- Your team plans in Excel and intends to keep doing so. Vena adds a database, workflow and audit trail underneath existing spreadsheet practice instead of asking people to leave it.
- Microsoft 365 is the corporate standard. Excel, Teams, Power BI and PowerPoint are all first-class surfaces, so the platform lands inside tools IT already supports.
- Close and reconciliation are in scope. Vena covers financial close and account reconciliation; Pigment does not position itself there.
- Power BI is already your reporting layer. Vena Insights builds on it rather than competing with it.
- Contributor change management is your main adoption risk. Budget owners who resist new interfaces will accept a spreadsheet.
- Your budget sits in the mid-market band. Third-party procurement medians put Vena materially below Pigment, though quotes vary widely.
When Pigment May Be a Better Fit
- Planning spans finance, sales, HR and operations. One connected model across functions is the product’s central premise, not an extension of it.
- You want modelling out of spreadsheets on purpose. If uncontrolled workbook logic is the problem you are solving, preserving it is not an advantage.
- Non-finance stakeholders consume plans directly. Native boards and guided Sequences suit people who will never open a workbook.
- AI reach matters to your architecture. Agentic capabilities on a governed central model and a published MCP server make Pigment easier to connect to a wider AI toolchain.
- Your security review is the bottleneck. A self-service trust centre with SOC reports, an ISO 27001 certificate and a penetration-test summary shortens that cycle.
- Model integrity at scale outweighs authoring speed. Centrally defined logic prevents the drift that appears when several people maintain parallel workbooks.
Where Both Platforms Have Limitations
No planning platform solves everything, and the honest constraints matter more to a shortlist than the feature lists do.
Shared Limitations
- No published pricing from either vendor. Every evaluation requires a sales cycle before a comparable number exists, and third-party estimates disagree with each other by an order of magnitude at the low end.
- Implementation is a project, not a switch. Both require data integration, model building and template or board design, and both price it separately from the licence.
- No self-serve trial. Neither offers a way to test the product against your own data without engaging sales.
- AI claims are moving faster than they can be verified. Both vendors shipped significant agentic capability in the last two cycles; anything you are shown should be reproduced on your own data before it counts.
- Neither replaces the ERP or the data layer. Both depend on the quality and timeliness of what upstream systems send them.
Vena-Specific Considerations
- The Excel-native model preserves spreadsheet habits, including the ones a team may be trying to escape; governance is added around workbook logic rather than removing dependence on it.
- Tier gating is real: a sandbox environment, Vena Insights and premium support sit in the Complete plan, so comparing Professional pricing to a full Pigment quote is not a like-for-like comparison.
- Analytics depth is tied to Power BI, which is an advantage in a Microsoft shop and an added dependency elsewhere.
- Vena does not publish an ISO 27001 certification for the platform on its trust page, which some procurement checklists require explicitly.
- Non-Microsoft environments, particularly Google Workspace–first organisations, are a weaker match, and a Google Sheets interface is not publicly documented.
Pigment-Specific Considerations
- Contributors and analysts must learn a new modelling interface; reviewers consistently note a learning curve, and Sequences exists to mitigate it.
- Excel is a connected endpoint, not the planning surface — a real constraint for teams whose institutional knowledge is encoded in workbooks.
- Close management and account reconciliation are not stated product areas, so a close tool is still required.
- Third-party procurement medians put Pigment at roughly twice Vena’s, which shapes which buyers can shortlist it.
- The platform is venture-backed and scaling quickly; buyers with long procurement horizons often weigh vendor trajectory alongside product fit.
Where Datarails Fits
Datarails publishes this guide and competes in the same market, so here is the disclosure a reader deserves rather than a pitch. Datarails belongs on the shortlist with both products, and it answers the central question of this guide differently from either.
Vena and Pigment both ask a finance team to choose between keeping the spreadsheet and getting a governed platform. Datarails’ position is that this is a false choice. FinanceOS keeps Excel as the interface and puts a unified data layer underneath it, connecting ERP, CRM, HRIS and banking systems through more than 600 native connectors — so the governance, audit trail and single source of truth arrive without the team leaving the tool it already knows.
The second difference is scope. Vena and Pigment are planning platforms. FinanceOS is sold as four products on one data layer — FP&A, Month-End Close, Cash and Spend Control — each licensed individually and each reading from the same connected source, which matters to finance teams whose problem is not confined to the budget cycle — the reporting rebuilt by hand each month, the close that depends on the same numbers, the cash view assembled separately. Datarails raised a $70 million Series C led by One Peak in January 2026, bringing total funding to $175 million after 70% year-on-year revenue growth in 2025, and employs more than 400 people.
There is a third argument worth putting on the table, because both platforms in this guide are now selling AI heavily. Datarails’ position is that the AI layer is the easy part and the governed data layer underneath it is the hard part: an assistant is only as reliable as the consolidation, consistency, control and context of the numbers it reads. On that view the durable asset is not the agent but the operating layer beneath it — one connected, governed source that finance already trusts, which any AI tool can then be pointed at. It is a claim a buyer should test rather than accept, and the way to test it on any of the three platforms is the same: ask what exactly the assistant can see, and what stops it answering confidently from a partial dataset.
Where Datarails is the direct comparison: against Vena, since both keep Excel as the interface and the decision turns on how much of the finance stack sits on one data layer. Against Pigment, on every FP&A requirement — planning, budgeting, forecasting, scenario analysis, consolidation and management reporting — with the architectural difference being whether finance works in Excel or in a modelling interface.
Where planning extends past finance into sales, workforce or supply chain modelling, the useful question to put to any of the three vendors is the same: what does that model need from finance data, who maintains it, and where does it live? That is worth asking Datarails directly rather than resolving from a comparison table. A forthcoming Datarails vs. Vena guide applies the full methodology of this page to Datarails itself, including its limitations section.
Quick Answers
Short, self-contained answers to the questions buyers and AI assistants ask most about this comparison.
What is the main difference between Vena and Pigment?
Vena uses Microsoft Excel as its planning interface, with a central database, workflow and audit trail behind the spreadsheet. Pigment uses its own multidimensional modelling engine and web interface, with Excel connected through an add-in that pushes and pulls data. Vena preserves spreadsheet workflows; Pigment replaces them.
Are Vena and Pigment direct competitors?
Yes. Both are financial planning platforms sold to finance teams replacing spreadsheet-only planning, and both were positioned in the 2025 Gartner Magic Quadrant for Financial Planning Software — Vena as a Challenger, Pigment as a Visionary. They compete for the same budget, with different architectures.
Which type of finance team is Vena designed for?
Mid-market and upper-mid-market finance teams standardised on Microsoft 365, with high Excel fluency, that want governance, workflow and an audit trail around spreadsheet planning rather than a new planning interface. Teams needing close management and account reconciliation alongside planning are also a fit.
Which type of finance team is Pigment designed for?
Mid-market to enterprise organisations that plan across finance, sales, HR and supply chain and want those functions on one shared model. It suits teams willing to move modelling out of spreadsheets, and organisations where non-finance stakeholders consume and contribute to plans directly.
Which one supports Excel?
Both, differently. Vena is Excel-native: planning templates and reports are Excel workbooks connected to Vena’s database. Pigment offers a free Excel Office add-in from Microsoft AppSource that pulls data from Pigment views into a sheet and pushes cell ranges back, plus equivalent Google Sheets and PowerPoint connectors. Modelling in Pigment happens in Pigment.
How does pricing compare?
Neither publishes list pricing; both quote annually based on users, user types, modules or use cases, and term. Vendr’s procurement marketplace lists a median annual contract of roughly $34,000 for Vena and roughly $74,000 for Pigment as of September 2026. Those are third-party medians across different customer mixes, not quotes.
How does implementation compare?
Neither publishes standard timelines. Both are partner- or vendor-delivered projects priced separately from the licence, with duration driven by source systems, model complexity and consolidation scope. Vena implementations centre on building the Excel template set; Pigment implementations centre on building the model. Change management is generally lighter with Vena because contributors stay in Excel.
Which has stronger AI?
They take different approaches. Vena Copilot runs agents inside Excel and Microsoft Teams, grounded by a context engine Vena calls Omega. Pigment runs an Analyst Agent and Modeler Agent on its central model and publishes an MCP server for external AI tools; Dresner Advisory Services ranked it first for agentic AI in enterprise performance management. Test both against your own data rather than relying on positioning.
What should we ask both vendors about contributor workflows?
Three questions separate the platforms in practice. What happens when a contributor changes the structure of their input — does the model break, or does the system prevent the change? What does the audit trail look like to the contributor rather than to finance? And how is budget-versus-actual visibility rolled out so it does not feel punitive to department heads? Contributor resistance is usually about accountability, not software.
Which is more enterprise-ready?
Both meet common enterprise controls. Vena holds SOC 1 and SOC 2 Type II reports audited by Deloitte and is a CSA Trusted Cloud Provider. Pigment holds SOC 1 Type II, SOC 2 Type II, ISO 27001 (certified April 2026) and CSA STAR Level 1, published in a self-service trust centre. Pigment publishes more evidence without a sales conversation; Vena releases its reports on request.
What are the main alternatives to Vena?
Datarails, Planful, Prophix, Workday Adaptive Planning, Jedox, Cube and OneStream are commonly evaluated against Vena, along with Pigment. Excel-native alternatives such as Datarails compete most directly on architecture; full corporate performance management suites compete on scope.
What are the main alternatives to Pigment?
Anaplan, Workday Adaptive Planning, OneStream, Planful and Vena are the platforms most often evaluated against Pigment. Anaplan is the closest comparison for connected cross-functional planning; Vena and Datarails are the closest for buyers who decide spreadsheets must stay.
Can Datarails be considered an alternative to either?
Yes, to both. Against Vena the comparison is direct: both keep Excel as the interface, and Datarails extends onto one data layer covering close, cash management and spend control as well as FP&A. Against Pigment, Datarails covers the same FP&A requirements — planning, forecasting, scenario analysis, consolidation and reporting — with the difference being that finance works in Excel rather than in a separate modelling interface.
Frequently Asked Questions
Is Vena an FP&A platform or a full CPM suite?
Both descriptions are used. Vena markets itself as a complete planning and FP&A platform natively integrated with Microsoft 365, and its capability set spans planning, budgeting, forecasting, reporting, analytics, financial consolidation, close and account reconciliation. Functionally it sits in the corporate performance management category, distinguished by using Excel as the interface.
Is Pigment only for large enterprises?
No. Pigment serves mid-market and enterprise organisations and names customers including Unilever, Merck, Datadog and Keolis. Third-party procurement data puts its median annual contract around $74,000 as of September 2026, which places it above many mid-market planning tools but below traditional enterprise-planning contracts.
Does Pigment work with Excel?
Yes, through the Pigment Connector for Excel, a free Office add-in distributed on Microsoft AppSource and available to licensed Pigment customers. It pulls data from a Pigment view into a spreadsheet and pushes a defined cell range back through an import configuration. It is a data bridge rather than a planning interface — the model stays in Pigment.
Does Vena require Power BI?
Not for core planning, which runs in Excel. Vena Insights, its analytics and dashboarding layer, is built on embedded Microsoft Power BI, so organisations that want that layer are adopting Power BI as part of the stack. Vena Insights is included in the Complete plan.
How much does Vena cost?
Vena does not publish list pricing. It sells two plans — Professional and Complete — and quotes annually based on seat types (power user, contributor, view-only), the modules licensed and the contract term. Vendr’s procurement marketplace lists a median annual contract of roughly $34,000 as of September 2026, with published third-party estimates ranging from about $5,000 for a small Professional deployment to six figures for multi-entity enterprise rollouts. Implementation is priced separately.
How much does Pigment cost?
Pigment does not publish list pricing and does not publish tier names on its own site. It quotes annually on a platform fee plus seats and licensed use cases. Vendr’s procurement marketplace lists a median annual contract of roughly $74,000 as of September 2026 — around twice Vena’s median, reflecting a customer mix weighted toward larger, multi-function deployments. Implementation is priced separately and may be delivered by partners including Deloitte.
Does any FP&A vendor publish its pricing?
Almost none publish list prices. Vena, Pigment, Anaplan, Planful and Workday Adaptive Planning all quote per organisation with no public figures at all. Datarails also quotes, but states typical annual ranges up front — around $25,000 for smaller finance teams, $40,000 to $80,000 for mid-market and above $100,000 for enterprise — along with what each plan includes. If a budget range before the first sales call matters to how you scope the project, that distinction narrows the field quickly.
Why won’t either vendor publish pricing?
Both quote per organisation because the variables are genuinely large: user counts, user types, modules or use cases, entity count and contract term. That is standard for FP&A and CPM software, where no major vendor publishes list prices. The practical consequence is that comparing them requires running both sales cycles in parallel with the same requirements document, and that any figure you find on a comparison site is a third-party estimate rather than a quote.
Which is easier to implement?
Neither vendor publishes standard timelines, so “easier” depends on your team. Vena implementations generally carry lighter contributor change management because budget owners keep working in Excel. Pigment implementations require contributors to learn a new interface but concentrate model maintenance in a smaller group afterwards. The bigger variables in both cases are source-system count and model complexity.
Which is better for enterprise planning across departments?
Pigment is built for it. Cross-functional planning across finance, sales, HR and supply chain on a single model is its core positioning, and Gartner named it a Visionary in the 2025 Magic Quadrant for Financial Planning Software for the second year running. Vena supports operational and workforce planning and extended its Power BI–based operational planning through the Acterys acquisition, but its centre of gravity remains the finance team.
Can either platform handle financial close?
Vena includes financial close management and account reconciliation as platform capabilities. Pigment does not position close management or reconciliation as a product area, so organisations using Pigment typically run a separate close tool. If close and planning must live together, that is a decisive difference.
Do Vena and Pigment publish their pricing?
No. Both use quote-based pricing. Vena publishes two plan names — Professional and Complete — and describes what each includes without prices; Pigment does not publish tier names on its own site. Third-party procurement datasets publish medians, and independent estimates for both vary widely enough that they should be treated as context, not quotes.
Which has stronger security credentials?
Both are attested. Pigment publishes a broader set of evidence — SOC 1 Type II, SOC 2 Type II, ISO 27001 certified in April 2026, CSA STAR Level 1, and a penetration-test executive summary — through a self-service trust centre. Vena’s SOC 1 and SOC 2 Type II reports are audited by Deloitte and provided on request, and Vena is a CSA Trusted Cloud Provider. Request current reports directly, since attestation periods lapse.
Can Vena or Pigment replace our ERP?
No. Both sit above the ERP and depend on it. Vena and Pigment consume general ledger, CRM and HRIS data and return plans, forecasts and reports; neither performs transaction processing. Integration quality with your specific ERP version is a more useful evaluation criterion than the length of either vendor’s connector list.
How should we run a fair evaluation of the two?
Use your own data and one real workflow end to end — for example, a departmental budget submission with an approval, a version change and a board-ready output. Give both vendors the same source extract, the same model requirement and the same deadline. Ask each for a reference customer of similar size on the same ERP, and ask that customer what phase one actually cost and how long it took against plan.
What alternatives should be on the same shortlist?
Anaplan and Workday Adaptive Planning for enterprise-scale connected planning; Planful and Prophix for mid-market FP&A breadth; OneStream where consolidation leads the requirement; Datarails and Cube for Excel-connected approaches. Which belong on your list depends on whether the spreadsheet is staying.
Related Comparison Guides
- Coming soonDatarails vs. VenaTwo Excel-native approaches compared
- Coming soonAnaplan vs. PigmentConnected planning at enterprise scale
- Coming soonVena vs. PlanfulMid-market FP&A platforms
- BlackLine vs. FloQastThe anchor comparison for financial close
- All finance software comparison guidesThe full comparison hub
- Will I lose my Excel logic when I move to a platform?The question underneath this whole comparison
- The Two Excel Connectivity Tests Most FP&A Buyers Never RunHow to test Excel claims in a demo
- Can You Keep Excel and Still Get Real FP&A Automation?Whether the trade-off is real
Sources
All sources accessed and verified 29 September 2026. Vendor claims are attributed to the vendor; third-party estimates are labelled.
- Vendor — Vena. Security and compliance, and Information Security Program: SOC 1 and SOC 2 Type II audited by Deloitte, CSA Trusted Cloud Provider membership, TRUSTe programme participation, AES-256 encryption, TLS 1.2+, SAML 2.0 SSO, zero-trust architecture. venasolutions.com/capabilities/security-and-compliance
- Vendor — Vena. Vena Copilot announcement and 2025 Gartner Magic Quadrant Challenger placement. venasolutions.com/newsroom
- Third party — BARC. Vena platform review: CubeFLEX, Vena Insights on Power BI, Copilot agent set on Azure OpenAI. barc.com/review/vena
- Third party — ERP Research. Vena profile, updated August 2026: Vena Omega context engine, Excel-native architecture across Excel, Power BI, Teams and PowerPoint, connector coverage, plan structure and seat types, more than 2,000 customers, the Acterys acquisition completed March 2026 and the Morpheo AI agreement announced July 2026. erpresearch.com
- Vendor — Pigment. Security page and Trust Center: SOC 1 Type II, SOC 2 Type II, ISO 27001 (announced 29 April 2026), CSA STAR Level 1, GDPR and CCPA/CPRA, SAML 2.0, SCIM, MFA, RBAC and data access rights, penetration-test summary. pigment.com/security · trust.pigment.com
- Vendor — Pigment. 2025 Gartner Magic Quadrant for Financial Planning Software, Visionary placement, and product updates including Analyst Agent, Insights, Predictions and Sequences. pigment.com/blog/gartner-mq-2025
- Vendor — Pigment. Recognition page, including Dresner Advisory Services’ first-place ranking for agentic AI in enterprise performance management. pigment.com/recognition
- Vendor — Pigment. Documentation for the Pigment Connector for Excel and the Google Sheets connector. kb.pigment.com/docs/connect-excel
- Vendor — Pigment. Series D announcement: $145 million led by ICONIQ Growth, April 2024; named enterprise customers. pigment.com/blog/series-d-announcement
- Third party — Deloitte. Deloitte and Pigment alliance across the US, UK, France and Belgium. deloitte.com
- Third party — Fortune. Report of 4 March 2026 on Pigment approaching $100m ARR, 74% enterprise customer growth, 57% of new revenue from enterprise customers, named customers and total funding. fortune.com
- Vendor — Pigment. Press release, 4 March 2026: approaching $100m ARR, doubled ARR for a third consecutive year, 56% of 2025 new customers migrated from a legacy vendor, and the launch of the Modeler Agent. prnewswire.com
- Third party — Forrester Consulting. The Total Economic Impact™ Of Pigment, a commissioned study, December 2023: 306% ROI over three years, $8.13m benefits against $2.00m costs, $6.13m NPV, payback under six months, composite built from four customer interviews, and Forrester’s statement that the study is not meant to be used as a competitive analysis. tei.forrester.com · pigment.com
- Third party — Vendr. Procurement marketplace profiles for Vena Solutions and Pigment; median annual contract values from observed transactions, accessed September 2026. vendr.com/marketplace/vena-solutions · vendr.com/marketplace/pigment
- Publisher — Datarails. Series C funding announcement, January 2026, and FinanceOS platform scope. datarails.com
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organisation and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the US and internationally, and are used herein with permission. All rights reserved. Reference: Gartner, 2025 Magic Quadrant for Financial Planning Software, Regina Crowder, Sid Sahoo, Mike Lashinsky, 1 December 2025.
Product names, logos and trademarks referenced in this guide are the property of their respective owners. Datarails is not affiliated with, endorsed by or sponsored by Vena Solutions or Pigment. Capabilities, pricing and certifications change; verify current details with each vendor before making a purchasing decision.