Outgrown Cube?
You’re not alone.
Datarails vs. Cube
When your FP&A needs to evolve beyond basic spreadsheets, you need a platform that actually scales. Datarails delivers version control, workflow automation, and visualizations that Cube simply can’t match. Let’s break it down.
The gap is real
Cube helped you graduate from basic spreadsheets-and that’s great.
But as your FP&A function matures, you need more than just a basic data connector. You need version control that actually works, workflows that eliminate bottlenecks, and visualizations your CFO will actually want to look at. That’s where Datarails comes in.
What you’re missing out on
Version control that actually exists
Workflows that don’t require workarounds
Visualizations your executives will love
A platform that grows with you
Excel-Native without the Excel chaos
Support that knows FP&A
Don't just take our word for it
“I think choosing Datarails was the greatest decision ever for our company.”
“Thank goodness we went ahead with Datarails, because there’s no way we’d be where we are as a team without it.”
“I really love Datarails and its intuitive yet robust platform, I wouldn’t survive without it.”
“It just works. As we grow, that kind of reliability is invaluable.”
The numbers speak for themselves
Based on hundreds of G2 reviews from Finance Professionals
FAQs
Why do teams typically outgrow Cube?
As FP&A functions mature, they need more than data connectivity. Teams hit walls around version control for compliance, workflow automation for efficiency, and professional-grade visualizations for executive reporting. Cube wasn’t built to scale with these needs – Datarails was.
Can we run Cube and Datarails in parallel during transition?
Yes, and many customers do this for 1-2 cycles to ensure continuity. We’ll work with your team to create a phased migration plan that minimizes risk and keeps your FP&A operations running smoothly.
Do we need to rebuild all our existing models from scratch?
Nope. Datarails works natively with Excel, so your existing models can be imported and enhanced with version control and workflows. You’re building on what you have, not starting over.
What level of technical expertise does our team need?
If your team can use Excel, they can use Datarails. Unlike Cube, which often requires SQL knowledge or developer support for advanced features, Datarails is designed for finance professionals, not data engineers.
How does Datarails handle multi-entity consolidations?
Datarails was built to support almost any type of consolidation scenario: multi-currency, intercompany eliminations, hierarchical roll-ups. Cube struggles here without significant customization. We handle it out of the box.
Cube says they integrate with BI tools for visualization. Isn’t that enough?
Sure, if you want to manage another vendor relationship, deal with data sync delays, and force your executives to learn yet another tool. Datarails has powerful visualizations built in – one platform, one login, no integration headaches.
Learn why finance teams choose Datarails
