Datarails is a planning, reporting and consolidation platform that keeps finance teams working in Excel while it pulls data from "600+ sources" into a governed layer with version control, audit trails and permissions [1]. In this Datarails review, the fit is clearest for small and mid-size teams with heavy Excel models and messy multi-system data. The trade-off is that every plan is quote-only, and the entry plan lists 2 users and 1 integration [2].
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How we chose
We read Datarails' own homepage, pricing page and integrations directory, then compared it with three tools a small or mid-size finance team would usually shortlist next to it: Cube, Vena and Jirav. Every fact below comes from those vendors' public pages, checked on 2026-11-12, and carries a citation. We did not run hands-on trials, and we do not score or rank products. If you want the wider market view, our FP&A software comparison covers more vendors; this page goes deep on one product.
Datarails and its rivals at a glance
| Product | Best for | Starting price | Notable |
|---|---|---|---|
| Datarails | Excel-heavy teams consolidating many systems | Custom quote on all three plans [2] | Plans capped at 1, 2 or 3 integrations [2] |
| Cube | Teams that want unlimited users on every tier | Custom quote by plan [3] | "Unlimited users and dimensions" [3] |
| Vena | Microsoft 365 shops with complex models | No prices listed on the pricing page [4] | Discounts for not-for-profits and Business Central users [4] |
| Jirav | Smaller teams that want a published price | $10,000/year (Starter) [5] | Unlimited collaboration users [5] |
Datarails review: what it does
Datarails describes its core product, FinanceOS, as a "governed, Excel-connected operating layer for finance" that links decisions "to live data from 600+ sources" [1]. The pitch is simple: keep the spreadsheet models your team already trusts, and replace the copy-paste work of feeding them. The homepage lists version control, audit trails, permission settings and centralized business logic as part of that layer [1].
On top of FinanceOS sit five products [1]:
- Datarails FP&A for planning, budgeting, forecasting and reporting, described as "built for Excel users" [1].
- Month-End Close for checklists, reconciliations and task workflows [1].
- Cash, which shows bank positions in one place and can "forecast 13 weeks out" [1].
- Spend, covering purchase orders, invoice matching, corporate cards and contracts [1].
- Desk, a ticket queue for finance requests with AI-drafted responses [1].
For multi-entity groups, the pricing page lists support for multiple charts of accounts, currency translation and intercompany eliminations [2]. That matters if you run several legal entities on different ledgers and currently consolidate them by hand.
Integrations. The integrations directory lists Oracle NetSuite, QuickBooks (Desktop and Online), Sage Intacct, Xero, Salesforce and HubSpot among its popular connectors, and says Datarails "integrates with 600+ systems" [6]. The catch is on the pricing page: the number of integrations included depends on your plan [2]. A large catalog does not mean you can connect all of it on an entry plan.
Datarails — Excel-first FP&A with a governed data layer
Datarails suits finance teams that live in Excel and want automation behind the spreadsheet, not a new modeling tool in front of it. If you are deciding what Datarails is in one line: it is a data and workflow layer that feeds your Excel models from your ERP, CRM and HR systems, with controls on top [1].
Verified features: Excel-native planning, consolidation, dashboards, scenario modeling and anomaly detection are listed for the FP&A product [1]. Plans include data mapping, workflows, version control, permissions and allocations, plus an AI suite and an AI connector for outside AI tools [2].
Pricing: Datarails does not publish prices. The page offers "a custom quote tailored to your needs" and promises "no consultant fees" [2]. There are three plans [2]:
- Professional: 2 users, 1 integration, standard support.
- Premium: adds Spend (cards, bill pay, contracts), 5 users and 2 integrations.
- Expert: adds cash management, month-end close, receivables and Desk, with "15 Users + 50 Viewers" and 3 integrations.
We keep pricing short here; our Datarails pricing breakdown goes through quotes and plan differences in more detail.
Strengths: Finance staff keep their Excel models instead of rebuilding them elsewhere [1]. Consolidation features such as multiple charts of accounts and intercompany eliminations appear in the plan comparison [2]. The connector catalog is broad, from QuickBooks up to NetSuite and Sage Intacct [6].
Limitations: No list prices, so you cannot budget for it without a sales call [2]. User seats are tight on the lower plans (2 on Professional, 5 on Premium), and integrations are capped per plan [2], which can push a team with several source systems into a higher tier. Close, cash and Desk sit in the top Expert plan or are sold as modules layered on [2]. Teams that want to move off Excel entirely may find the Excel-first design is the opposite of what they need.
Best fit: Small and mid-size finance teams, often a controller plus a few analysts, with established Excel models, two or three core systems and a monthly reporting or consolidation process that eats days.
Cube — unlimited users on a spreadsheet-connected platform
Cube is the closest like-for-like rival in a cube vs Datarails decision. It also keeps finance in spreadsheets, with work happening "in Excel, Google Sheets, PowerPoint, Slack, and your AI assistants" [7].
Verified features: Every plan includes the web workspace, native Excel and Google Sheets, dashboards and AI agents [3]. Silver adds workflows, SSO and Slack, Teams and slide integrations [3].
Pricing: Quote-based. Cube says it "is priced by plan, quoted for your company" across Bronze, Silver and Gold tiers [3]. Tiers scale by legal entities: 1 on Bronze, up to 10 on Silver and up to 50 on Gold [3].
Strengths: "Unlimited users and dimensions" on every plan [3], which removes the seat math Datarails imposes. Cube states it is SOC 1 and SOC 2 Type 2 certified and HIPAA compliant [3]. Google Sheets support helps teams that are not Excel-only [3].
Limitations: Still no published prices [3]. Multicurrency consolidation is an add-on on Bronze and Silver and only included on Gold [3], so international groups may land on the top tier.
Best fit: Growing teams that need many budget owners in the system and use a mix of Excel and Google Sheets.
Vena — deep Microsoft 365 integration for larger models

Vena is the pick to weigh in a Vena vs Datarails comparison if your company runs on Microsoft. It connects ERP, CRM and HRIS data to "Vena CubeFLEX—our OLAP database built specifically for Excel" [8], and highlights native integrations for Microsoft 365 apps [8].
Verified features: Close, consolidation and reconciliation sit alongside planning and reporting [8]. Vena AI agents surface insights "in Microsoft Teams and Excel Live" [4].
Pricing: The pricing page lists two packages, Professional and Complete, without prices [4]. Complete adds Vena Insights, premium support, a sandbox environment and expert managed services [4]. Not-for-profits and Microsoft Dynamics 365 Business Central users "may be eligible for discounted pricing" [4].
Strengths: A dedicated OLAP database built for Excel [8] and a customer success manager on the entry package [4].
Limitations: No published prices [4]. Export APIs "are available for an additional fee" [4], which matters if you plan to push data out to other tools.
Best fit: Mid-size finance teams standardized on Microsoft 365 that want planning, close and consolidation in one place.
Jirav — the one with a public price
Jirav serves companies and accounting firms [9], with a separate price list for small and medium businesses [5]. Its "driver-based software forecasts the P&L, balance sheet, and cash flow" [9].
Verified features: Every plan includes budget vs actual analysis, rolling forecasts, what-if scenarios, departmental planning and integrations with accounting, workforce tools, Google Sheets and Excel [5].
Pricing: Starter is "$10,000/year" for company-level planning through next year, the next tier is "$15,000/year" for multi-year, departmental plans, and Enterprise is quote-only [5].
Strengths: You can budget for it before talking to sales [5]. "Unlimited Collaboration Users" and unlimited read-only sharing are included [5].
Limitations: Starter is limited to company-level planning, with departmental budgeting on the higher tier [5]. It is a web planning tool rather than an Excel-first layer, so teams attached to their workbooks will need to rebuild models.
Best fit: Small finance teams or outsourced CFOs who want three-statement forecasting at a known annual cost.
How to choose between Datarails and its competitors
Start with where your models live. If the team's best work is in Excel and nobody wants to rebuild it, Datarails, Cube and Vena all keep spreadsheets at the center [1] [7] [8]. Jirav is a better match if you are ready to leave a fragile workbook behind.
Then count people and systems. Datarails plans cap both users and integrations [2], while Cube includes unlimited users [3] and Jirav includes unlimited collaboration users [5]. If 20 department heads need to submit budgets, that difference will shape your quote.
Next, check entities and currencies. Datarails lists currency translation and intercompany eliminations in its plan comparison [2]; Cube includes multicurrency consolidation only on Gold [3]. Ask each vendor which tier your entity count lands in.
Finally, ask for written quotes from at least two vendors. Three of the four do not publish prices [2] [3] [4], so a side-by-side quote is the only real comparison. If none of them fit a niche workflow, a custom fintech build or an AI integration on top of your existing stack is another route.
FAQ
What is Datarails?
Datarails is a finance platform whose FinanceOS layer connects data from "600+ sources" to Excel, with version control, audit trails and permissions [1]. Its products cover FP&A, month-end close, cash, spend and a finance request desk [1].
What do Datarails reviews say about pricing?
Datarails itself does not publish prices; each of its Professional, Premium and Expert plans is sold by custom quote [2]. The plans differ by users, integrations and modules, from 2 users and 1 integration on Professional to 15 users plus 50 viewers and 3 integrations on Expert [2].
Who are Datarails' main competitors?
For small and mid-size teams, Cube, Vena and Jirav are common alternatives. Cube offers unlimited users on every plan [3], Vena builds on an OLAP database made for Excel [8], and Jirav publishes a Starter price of $10,000 per year [5].
Vena vs Datarails: which is better for Excel users?
Both keep Excel central. Datarails links Excel models to live data from many systems [1], while Vena pairs Excel with its CubeFLEX OLAP database and native Microsoft 365 integrations [8]. Neither lists prices [2] [4].
Does Datarails integrate with QuickBooks and NetSuite?
Yes. Its integrations directory lists QuickBooks (Desktop and Online) and Oracle NetSuite, along with Sage Intacct and Xero [6]. How many connections you can run depends on your plan [2].
Our recommendation
Datarails is a sound choice for an Excel-heavy finance team that wants consolidation, controls and live data without giving up its spreadsheets. Go in knowing that the low plans are tight on users and integrations and that prices are quote-only. If seat count is the problem, get a Cube quote; if you run on Microsoft 365, look at Vena; if you need a public price and are ready to leave Excel, Jirav is the simplest to budget.
Sources
- Datarails FinanceOS: Trusted AI for Finance Teams - Datarails — checked 2026-11-12
- Pricing - Datarails — checked 2026-11-12
- Transparent and Upfront Pricing | Cube FP&A Software — checked 2026-11-12
- Pricing Plans & Features | Vena Solutions — checked 2026-11-12
- Jirav - Pricing — checked 2026-11-12
- Datarails Integrations — checked 2026-11-12
- Agentic FP&A Platform | Cube — checked 2026-11-12
- Vena: The #1 Microsoft-Native Financial and Operational Planning Platform — checked 2026-11-12
- FP&A and Financial Forecasting Software | Jirav — checked 2026-11-12










