Datarails vs Vena (October 2026): Excel-based FP&A compared independently

Datarails or Vena: the verdict

Datarails vs Vena: comparison table

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Pricing and contracts: Datarails prints the scope, Vena prints the license roles

Neither vendor publishes an amount. Both pricing pages end in a request for a quote (as of October 2026). What they disclose differs. Datarails lists three plans. Professional covers unlimited dashboards, reporting and planning for 2 users and 1 integration, with its AI agents and the FinanceOS AI Connector. Premium raises that to 5 users and 2 integrations and adds a spend module for cards, bill pay and contracts. Expert has 15 users plus 50 viewers, 3 integrations, Cash Management, Month-End Close, Receivables and Desk.

One detail on that page deserves a question. The feature table says Expert includes one of Cash Management, Month-End Close or Spend Control at no extra cost, while the plan card lists several modules by name. Ask which modules your quote actually contains. The page also promises complete cost transparency with no consultant fees, which is a vendor statement about its own services and not something we can test.

Vena describes plans by service level and sorts seats by role. Professional includes the platform, a customer success manager, standard support with 24/7 monitoring, a customer portal and Vena Copilot. Vena Insights, a sandbox environment, expert managed services and export APIs cost extra on Professional, while import APIs are included. Complete bundles Insights, premium support, the sandbox and managed services. Seats are Power User (builds and owns models), Contributor (enters plans and budgets) and View Only. Nonprofits and users of Microsoft Dynamics 365 Business Central may qualify for discounts.

On contracts, Datarails' terms of service say fees are non-refundable and payment obligations are non-cancellable. Customers get 45 days after termination to download their content, and the governing law is New York or Israeli law depending on the contracting entity. Renewal terms sit in the order form, so ask for term, notice period and price at renewal. Vena publishes no contract terms, so ask the same questions. Neither vendor states a free trial. Our directory lists 57 budgeting and forecasting tools, and 43 of them sell on request only, so a missing price is common in this category.

AI: both sell agents, so check which ones are live today

Datarails markets its AI as Datarails AI, formerly called Genius. Its pricing page describes an AI Suite with natural language chat on governed financial data, automated agents for recurring analyses and custom agents, and says every plan includes it. AI Storyboards generate editable board presentations linked to live dashboards and start with Premium. CFO Dive reported on January 21, 2026 that Datarails launched Strategy, Planning and Reporting finance agents that produce PowerPoint, PDF and Excel files. The same article named AI in Excel as a release for later in 2026. We found no statement that it is available, so treat it as roadmap.

Vena includes Vena Copilot from the Professional plan. Its Spring 2026 release notes list the Planning Agent (driver-based plans in Excel from natural language prompts), the Query Agent (plain English turned into queries for Vena's own query language) and the Reporting Agent in the Ad Hoc tool as generally available. The Analytics Agent handles variance and trend analysis. Three items are not ready for a purchase decision: the Scenario Agent is listed as coming soon, and the MCP Server and Power BI Desktop integration are still in beta. Vena Copilot for Microsoft Teams has been generally available since May 15, 2025.

The two vendors point their AI at different outputs. Datarails leans toward documents: decks, reports and chat answers built on the consolidated data. Vena's agents write into the Excel model itself, which matters if the real work is building and revising a driver-based budget. Datarails also offers its FinanceOS AI Connector so that outside AI tools can read the governed data. Vena's release notes describe its comparable MCP Server as closed beta.

On data use, Datarails' AI Terms state that AI content is not used to train general-purpose AI models unless stated otherwise. They allow third-party AI providers to process content and warn that outputs may be inaccurate and need human review. Vena says on its AI page that it runs on Microsoft Azure OpenAI Service and that customer data never trains public models. Its subprocessor list adds ChatGPT Enterprise from OpenAI and Claude from Anthropic as generative AI providers, both located in the United States. Ask each vendor which feature calls which model, and in which region.

Excel in practice: an add-in on a data platform versus Excel on a modeling database

Datarails consolidates data from ERP, CRM, HR and Excel files into one governed layer and lets finance work against it from Excel. Its integrations page lists more than 200 sources. Named examples include NetSuite, Sage Intacct, Microsoft Business Central, SAP Business One, Acumatica, Epicor, Dynamics 365 and Workday, plus Salesforce and HubSpot, ADP and BambooHR, SharePoint, OneDrive, Power BI and Snowflake. Our previous page quoted more than 600 connectors. The current vendor pages do not support that number, so we removed it. Remember that the plans include only 1, 2 or 3 integrations, which makes the count of source systems a pricing question.

Vena's integrations page groups its connections instead of counting them. It names eight ERP and accounting systems (including Business Central, NetSuite, Sage Intacct, SAP and Dynamics 365 Finance and Operations), three CRMs, four HR systems (ADP, Workday, Dayforce, BambooHR) and five data lakes and warehouses, among them OneLake, Snowflake and BigQuery. Methods are native connectors, bidirectional APIs and flat files. The catalog is shorter than Datarails' and more Microsoft-centered, so a company on Business Central or Fabric has a natural fit.

Both vendors describe the architecture in their favor. Vena's comparison page claims that Datarails relies on a plug-in, that Datarails uses a relational database with performance limits on complex queries, and that budget contributors need split Excel files. It describes its own database as in-memory OLAP. These are competitor claims that we could not verify, so use them as questions for the demo and not as findings.

User reviews give a more balanced picture. On Capterra, Datarails scores 4.7 from 245 reviews. Reviewers praise support and instant refresh of consolidated data, and criticize an Excel add-in that gets sluggish with large datasets, setup and data structure work that remains substantial, and a steep learning curve. Vena scores 4.5 from 139 reviews. Reviewers like the Excel familiarity and the central database, and report slowdowns during heavy use, limited dashboard customization and third-party connections that needed manual validation. Both lists mention a learning curve, so budget training time for either tool.

Data protection and hosting: Vena offers an EU region, Datarails does not

Datarails' subprocessor list, updated on July 15, 2026, names Microsoft Azure (including Azure OpenAI) and MongoDB Atlas in the United States, Canada and the UK, OpenAI in the United States, Cloudflare worldwide, Descope in the US for authentication, SSO and MFA, and Workato in the US. Zendesk support runs in Frankfurt and Mixpanel analytics in the EU. There is no EU hosting region for customer data. Its data processing agreement, which you can read without signing anything, attaches Standard Contractual Clauses as Annex B and says personal data may be processed outside the EEA and the UK.

The same agreement gives customers 14 days to object to a new subprocessor, which follows the mechanism in Art. 28(2) GDPR. Audits are limited to once every twelve months at the customer's cost, or Datarails can hand over attestations and audit report summaries. Breaches are reported without undue delay, with no fixed hour count. Datarails' trust center loads its content dynamically and showed us no readable certificates, so ask for the current SOC report and penetration test summary.

Vena's trust page says customers choose a Canada, United States or EU region for their Vena Hub. It states AES 256-bit encryption for all customer data including backups, TLS 1.2 or stronger in transit, and optional SAML 2.0 single sign-on, multi-factor authentication and IP restrictions. The audits are SOC 1 and SOC 2 Type II by Deloitte, with a public SOC 3. ISO 27001 appears only for the AWS and Azure data centers, not for Vena itself, which some European procurement teams treat as a gap.

The trust page shows no data processing agreement. A separate subprocessor page, which states its last update as May 16, 2024, refers to Standard Contractual Clauses and lists Azure OpenAI Service in the US, Canada and Europe plus support and engineering vendors in India and Poland. An EU hub therefore does not mean that every access stays in the EU. Request the DPA, the current subprocessor list and the transfer mechanism, because under Art. 28(4) GDPR the vendor remains liable for its subprocessors.

For German companies, two extra checks apply. Section 87 paragraph 1 number 6 of the Works Constitution Act gives a works council co-determination over technical systems designed to monitor employee behavior or performance. A budgeting tool is not built for that, but a plan with employee-level salaries and user activity logs can start the conversation, so involve the council early. The EU AI Act lists in Annex III, point 4(b), AI systems intended to monitor and evaluate the performance and behavior of persons in work relationships. Neither vendor states an AI Act classification on the pages we read, so ask before pointing an agent at named employee data. This is orientation, not legal advice.

Company background and the weak spots we could source

Datarails names offices in Great Neck, New York, and Tel Aviv, and its subprocessor page lists Datarails Inc. in the US and Datarails Ltd. in Israel as affiliated entities. CFO Dive reported a $70 million Series C led by One Peak in January 2026, bringing total funding to $175 million, with more than 400 employees and 70 percent revenue growth in 2025. Those growth numbers come from the company.

Vena is Toronto based. TechCrunch reported in April 2021 that Vista Equity Partners took a minority stake with a $242 million investment, when Vena had more than 900 customers and about 450 employees. That coverage is five years old, so read it as history and not as current size. The Capterra listing for Vena that we opened shows 139 reviews, a smaller sample than the 245 for Datarails.

The weaknesses we can source for Datarails: no EU region, no public price, no stated free trial, no certificates readable on public pages, reviewer reports of a sluggish add-in on large datasets, only 1 to 3 integrations per plan, and a roadmap item (AI in Excel) that is not confirmed as available. For Vena: no public price, no stated free trial, no DPA on the trust page, no ISO 27001 of its own, a subprocessor page dated May 2024, a Scenario Agent that is not yet available, and reviewer reports of slowdowns and a long learning curve. Both tools need setup work on data mapping or models, and neither promise of quick results replaces a pilot.

Switching and testing: bring one budget cycle and one board pack

Because both tools keep Excel, a migration is mostly a mapping exercise, not a rewrite. Pick one department budget and last month's board or investor pack, and ask each vendor to rebuild them from your real files. With Datarails, watch how much of the pack AI Storyboards produce and how long the data mapper takes, which assigns GL accounts, departments and cost centers to your reporting structure. With Vena, watch how contributors enter numbers and how approvals move through workflows.

Test the AI on your own questions. Ask Datarails' chat why operating expenses moved in a given month, and ask Vena Copilot the same, in Teams if that is where your budget owners work. Compare both answers with what your controller would write. Ask for a sandbox or a paid proof of concept, because neither vendor states a free trial. At Vena the sandbox is a paid extra on Professional.

Settle the exit before you sign. Datarails gives 45 days to download content after termination. Vena lists export APIs as an extra on Professional, so confirm which export route you get and in which format. For both, write down the retention period after termination and the vendor's help during handover. If a web application instead of Excel is on your list, read Planful vs Vena, and see financial planning and controlling for other tools in the field.

Who should pick Datarails and who Vena

The bottom line

Count the people who touch the budget and decide where the data may live. A lean team that mainly reports and presents, and can host outside the EU, gets more direct help from Datarails. A budget process with many contributors, Microsoft Teams as the daily tool, or a hard requirement for EU hosting points to Vena. Get a signed DPA from either vendor before real salaries go in.