Tracker verified Oct 19, 2026 12 systems × 4 assistants · 58 source links · No source, no number →
Guides · 7 sources

Datarails vs Vena (2026)

Two Excel-native FP&A platforms with nearly identical median prices. The differences are in range, AI connectors, and how each handles your spreadsheets.

Disclosure: Datarails runs a partner program that pays referrers [7]. FP&A Stack is not a member today. If we join, links on this page will be labeled and this comparison will not change because of it.

At a glance

DatarailsVena
ApproachExcel-native FP&A on top of existing spreadsheetsExcel-native FP&A with a central database and workflow
Vendr median / yr$33,300$34,286
Vendr low–high$16,231–$62,037$9,343–$73,500
Public pricingNo (quote-only)No (quote-only)
Native AIGenius assistant; Strategy, Planning & Reporting agentsVena Copilot
Claude / ChatGPTYes — FinanceOS MCP, read-onlyYes — Vena MCP, read-only (GA)
Microsoft CopilotListed "coming soon"Yes — via Copilot Studio (GA)
Connector costPaid per support doc (conflicting info)Not stated
Write-back via AINo (all tools read-only)Only through Excel template add-in

Prices: Vendr [1][2]. AI connectors: vendor docs [3][4][5]. Verified Oct 19, 2026.

Price: a tie at the median, not at the edges

The medians are within $1,000 of each other — $33,300 for Datarails and $34,286 for Vena [1][2]. The ranges tell you more. Vena's floor is lower ($9,343) and its ceiling higher ($73,500), consistent with a product that can be sold as a small budgeting deployment or a broad FP&A-and-close platform. Datarails' range is tighter ($16,231–$62,037).

AI: both read-only, Vena is ahead on Copilot

Datarails offers its FinanceOS MCP connector for Claude and ChatGPT; every published tool is read-only and Copilot is listed as "coming soon" [3]. Its docs call the connector a paid feature, which conflicts with earlier pricing-page language — confirm in your quote.

Vena's MCP server is generally available with documented setup for Claude, ChatGPT and Microsoft Copilot Studio [4]. It's also read-only, with write-back through Vena's Excel add-in, and it doesn't support orgs that force SSO [5].

If your company standardizes on Microsoft 365 Copilot, that's a real point for Vena today. If you're a Claude or ChatGPT shop, it's closer to a wash.

Which to shortlist

  • Shortlist both if you're a mid-market team that wants to keep Excel as the front end. Price won't separate them; demos and references will.
  • Lean Vena if Microsoft Copilot is your assistant, or if you want a central database and workflow layer behind your Excel templates.
  • Lean Datarails if you want consolidation and reporting layered on spreadsheets you already have, with Claude or ChatGPT as the AI front end.

Practitioner take

Take coming soon

Our reviewer's side-by-side on budget build and variance commentary will be added here.

Deeper dives: Datarails pricing · Vena pricing

FAQ

Is Datarails cheaper than Vena?

Barely, at the median: $33,300 per year for Datarails versus $34,286 for Vena in Vendr data. Vena's range is wider at both ends ($9,343–$73,500 vs $16,231–$62,037), so your scope decides which is cheaper.

Which has better AI integration?

Vena currently documents more assistants (Claude, ChatGPT and Microsoft Copilot Studio, GA). Datarails supports Claude and ChatGPT with Copilot listed as coming soon. Both external connectors are read-only today.

Sources

  1. Vendr — Datarails pricing data — www.vendr.com/marketplace/datarails
  2. Vendr — Vena Solutions pricing data — www.vendr.com/marketplace/vena-solutions
  3. Datarails — FinanceOS MCP Server technical documentation — support.datarails.com/hc/en-us/articles/25849710214556
  4. Vena Developers — Connect external AI systems — developers.venasolutions.com/docs/connect-external-ai-tools
  5. Vena Developers — MCP FAQ & limitations — developers.venasolutions.com/docs/faq-limitations
  6. Datarails — FP&A software cost guide — www.datarails.com/blog/datarails-cost-and-features-2/
  7. PartnerStack — Datarails partner program — market.partnerstack.com/page/datarails

Benchmarks are third-party estimates of what buyers paid, not list prices. Your quote depends on users, entities, modules and negotiation. Spot an error? Email [email protected] and we will fix it and note the correction.

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