Datarails review: the Excel-native FP&A platform that consolidates your entities and prices by quote 

What is Datarails and who is it for?

Datarails calls itself the financial operating system for modern finance teams, and the plainer description on its FP&A product page is an end-to-end FP&A solution built for Excel users. The company was founded by Didi Gurfinkel, formerly a general manager at Cisco, Eyal Cohen, a co-founder of WalkMe, and Oded Har-Tal, and has offices in Great Neck, New York and Tel Aviv. The product connects to the systems where financial and operational data lives, consolidates it into a single governed source of truth, and serves it back to Excel, to web dashboards and to an AI assistant, so a team can keep its models and lose the copy-and-paste.

The customer it describes is a mid-sized company’s finance function: a CFO’s office with a handful of people, more than one system, often more than one entity, and an existing set of Excel models that took years to build. The pricing page’s three plans top out at fifteen users, which says the target is not an enterprise FP&A department, and the “no code or IT required” promise says it is not a data engineering project either. This Datarails review reads the pricing, product, company and trust pages on September 7, 2026, the 374 reviews on G2, and the pricing pages of three rivals, to say what you get, what you do not, and how to think about a product that will not tell you its price.

What Datarails costs, and why the site prints no number

The pricing page headline is “Choose your plan. No surprises.” and the sub-heading says a custom quote tailored to your needs, complete cost transparency, and no consultant fees, ever. Every plan carries a Request Quote button and nothing else. That is the whole of what Datarails publishes about price on September 7, 2026, and this Datarails review does not invent a figure to fill the gap: the number you pay depends on users, integrations, entities and modules, and it comes from a sales conversation.

Two things on the page do tell you something about cost. First, “no consultant fees” and, on the product page, a dedicated customer success manager “at no extra cost” from implementation onwards, which means the implementation is in the subscription rather than a separate services invoice, unlike most mid-market FP&A tools. Second, the plans scale by users and integrations rather than by features, so the cheapest plan is not a crippled one: Professional has the full reporting, planning, dashboards, consolidation suite and AI. Budget for an annual subscription, ask what an extra user and an extra integration cost, and ask whether the modules are priced per plan or per module.

From the Datarails pricing page on September 7, 2026.

Professional, Premium and Expert: what actually changes

The comparison table under the plans is unusually candid: reporting, planning, dashboards, Data Mapper, Lookups, Workflows, Submit Button, File Boxes, Filters, Version Control, AI Suite, FinanceOS AI Connector, Permissions, Allocations, Custom Reports, Multiple Charts of Accounts, Currency translation, Intercompany eliminations and JV Investment Accounting are ticked on all three plans. Only three rows differ. AI Storyboards is on Premium and Expert. Premium Support is on Premium and Expert. “Additional product included” is on Expert alone. Everything else is the count of users and integrations.

The practical reading: a two-person finance team with one ERP loses nothing on Professional except one-click board decks and the faster support line. The step to Premium is the step from two to five users and one to two integrations, and the step to Expert is the step to fifteen users and three integrations plus a free module. Ask for the plan whose seat count matches the people who will actually log in; the consolidation features are the same on all of them.

Excel-native: how the platform fits the models you already have

The FP&A product page leads with four numbers: 100 percent Excel-native, your models unchanged; zero code or IT required; four to six weeks average time to go live; and 600+ ERP, CRM and HRIS integrations. The pitch underneath is that the platform automates the data grunt work and preserves the Excel models a team has spent years perfecting, so the analyst keeps working in the spreadsheet while the numbers behind it are pulled from the connected systems, versioned and reviewed on the web. Collaboration, review and workflow management happen on the web side; the modelling stays in Excel.

That is the difference from the tools that replace Excel with a proprietary modelling grid. The upside is obvious to anyone who has tried to migrate a twelve-tab budget model into a new system; the downside, which the G2 reviewers describe, is that the concepts that connect the two worlds, File Boxes, Data Mapping, permissions, take time to learn, and a very large model can slow down. If your team’s Excel models are the asset, this is the right architecture; if they are the problem, look at a tool that starts over.

Consolidation, reporting, planning and dashboards

Consolidation is the reason a multi-entity company shortlists Datarails. The plan table lists multiple charts of accounts, currency translation, intercompany eliminations, JV investment accounting and allocations on every plan, and the product page describes automated consolidation from every system, entity and spreadsheet into one source of truth. Reporting covers the P&L, balance sheet and cash flow with data collection automated; planning, budgeting and forecasting run through collaborative workflows with version tracking, feedback and status; dashboards refresh with one click and are built without design or coding skills, according to the page.

What the product pages do not do is describe how the modelling itself works beyond “in Excel”, so a buyer should bring a real model to the demo: a rolling forecast with a driver-based headcount tab, a three-entity consolidation with an intercompany loan, and a board pack that has to be refreshed monthly. Ask to see the refresh, the version control and the permission model on that model, not on the vendor’s sample.

If the demo is the decision, book it through Datarails with that model ready, and ask for the quote on the plan whose seat count matches your team.

Datarails AI, Storyboards and the add-on modules

Datarails describes its AI as the first complete generative AI assistant for FP&A: tailored summaries, insights and presentations from a system that knows your data, plus AI-powered insight scanning that surfaces discrepancies, outliers and emerging trends. On the pricing page the AI Suite and the FinanceOS AI Connector are on every plan; the connector is described in the footer as connecting the governed data to the AI tools a team already uses. AI Storyboards, board decks in one click, is the Premium and Expert feature, and the pricing page offers a tailored walkthrough of the connector on request.

The claim worth testing in the demo is the last one on the company page: AI grounded in reconciled data, auditable, and built to run every month. Ask the AI assistant a question about a variance you already know the answer to, and ask to see where it got the number.

Cash, Month-End Close, Spend Control and Desk

Below the plans, the pricing page lists four purpose-built modules that layer onto any plan. Datarails Cash gives bank-level visibility into cash position and runway inside the existing reports. Month-End Close turns the close into a governed workflow with sign-offs. Spend Control adds approvals and real-time spend visibility. Desk is a ticketing system built for finance, with role-based task assignment, auditability and financial data inside each ticket, with AI. Expert includes one of them; on Professional and Premium they are extra, and the page does not price them.

Implementation, support and security

The FP&A page says the average time to go live is four to six weeks, that no code or IT is needed, and that customer success professionals all come from a finance background and work with you from implementation through ongoing optimisation at no extra cost. The G2 reviewers largely agree that onboarding is the hard part and the implementation team is helpful. Support is Standard on Professional and Premium on the two higher plans.

The Datarails Trust Center lists SOC 1 Type 1 and SOC 2 Type 2 reports, GDPR compliance, privacy impact assessments, physical security controls and security training, with documents available on request. For a tool that will hold the general ledger of every entity, that is the minimum a buyer should ask for, and it is published.

What users say on G2

On September 7, 2026 G2 shows Datarails at 4.6 out of 5 from 374 reviews in the budgeting and forecasting category. The praise is for Excel integration, customised reporting, dashboard visibility and the implementation team. The criticisms are consistent and specific: onboarding is the hardest part; the concepts of File Boxes versus Data Mapping and the role and permission setup take time to click, especially when work is handed between finance and non-finance people; bigger models can slow things down; the initial mapping of reports was a big lift; and one reviewer calls it a young system with widgets that need work, while crediting the team for fixing issues quickly. Several say they have found nothing to dislike yet.

Read together, the reviews say the product works once it is set up and that the setup is real work. For a buyer, that means the four to six weeks is a finance team’s time, not just the vendor’s, and the plan’s support tier matters during those weeks.

How Datarails compares with Vena, Cube and Jirav

The mid-market FP&A shortlist usually has these four, and they answer the pricing question in three different ways. For this Datarails review we read the Cube and Jirav pricing pages on September 7, 2026; Vena has no public pricing page.

From datarails.com/pricing, cubesoftware.com/pricing and jirav.com/pricing on September 7, 2026.

The sort is by philosophy. Datarails and Vena keep the Excel models and sell the data layer around them; Cube does the same for Excel and Google Sheets with a heavier automation pitch; Jirav replaces the model with its own and is the only one that prints a price, which is why it appears in every “affordable FP&A” list. If your models are the asset and you consolidate entities, Datarails and Vena are the comparison to run, and Datarails’ published plan table, no-consultant-fee statement and included CSM are the things to hold Vena’s quote against. If you would happily rebuild the model, price Jirav first.

Where Datarails falls short

The first weakness is the missing price: a buyer cannot budget from the website, and “no surprises” is a promise about the quote, not a number. The second is the onboarding effort the G2 reviewers describe, which the vendor’s four to six weeks confirms rather than contradicts. The third is the seat model: fifteen users on the top plan, and the site does not say what a sixteenth costs. The fourth is that the product pages describe outcomes rather than mechanics, so the modelling, refresh and permission behaviour have to be seen in a demo. The fifth is performance on very large models, mentioned by a reviewer. The sixth is that the four modules are priced nowhere, and only Expert includes one.

Who should buy Datarails, and who should not?

Scenario one: a three-entity company with a controller and an analyst

Professional, if one ERP is the integration, or Premium if the CRM or HRIS must feed the model too. Consolidation with intercompany eliminations and currency translation is on both, and the Excel models survive.

Scenario two: a five-person FP&A team building a monthly board pack

Premium: five users, two integrations, AI Storyboards for the deck and premium support during the six-week setup. Bring the real board pack to the demo.

Scenario three: a finance function of fifteen with a slow close

Expert, with Month-End Close as the included module, and Desk if requests from the business are the bottleneck.

Scenario four: a startup with one entity and one accountant

Not this tool. Jirav from $50 a month, or the accounting system’s own reporting, until there are entities to consolidate.

Common buying mistakes

Expecting a price on the site. Choosing the plan by features when the plans differ by users and integrations. Underestimating the finance team’s own time in the four to six weeks. Skipping the demo on your own model. Forgetting to ask what the modules cost below Expert.

Datarails pros and cons

Datarails

• Excel-native: models unchanged, data gathering automated, with 600+ stated integrations and no code or IT required.
• Full consolidation suite, reporting, planning, dashboards and the AI Suite on every plan, including Professional.
• No consultant fees and a finance-background customer success manager included from implementation onwards.
• Published plan table with the three rows that differ, four to six weeks average go-live, SOC 1 Type 1 and SOC 2 Type 2 on the trust centre.
• 4.6 out of 5 from 374 G2 reviews, with praise for Excel integration, reporting and the implementation team.

• No published price; every plan is a quote.
• Onboarding is the hard part, per the vendor’s own timeline and the reviewers.
• Seats cap at 15 on Expert, with no stated cost for more.
• Modules are priced nowhere; only Expert includes one.
• Product pages describe outcomes, not mechanics; large models can slow down.

Frequently asked questions

How much does Datarails cost?

Datarails publishes no prices. On September 7, 2026 the pricing page shows three plans, Professional, Premium and Expert, each with a Request Quote button, and states no consultant fees. The plans differ by users (2, 5, 15), integrations (1, 2, 3), AI Storyboards, premium support and an included module on Expert.

Is there a free trial?

No. The site offers a demo and a tailored walkthrough on request. There is no free plan.

Can I keep my Excel models?

Yes; that is the product’s premise. The FP&A page says 100 percent Excel-native with your models unchanged, and reviewers praise the Excel integration. The data behind the models is pulled from connected systems and managed on the web.

How long does implementation take?

The vendor states four to six weeks on average, with no code or IT required and a dedicated customer success manager included. G2 reviewers describe onboarding and the initial mapping as the hardest part.

Does Datarails do consolidation?

Yes, on every plan: multiple charts of accounts, currency translation, intercompany eliminations, JV investment accounting and allocations are all ticked for Professional, Premium and Expert.

What are the modules?

Datarails Cash, Month-End Close, Spend Control and Desk, described as purpose-built modules that layer onto any plan. Expert includes one; the others are unpriced on the site.

Is Datarails secure?

The trust centre lists SOC 1 Type 1 and SOC 2 Type 2 reports, GDPR compliance, privacy impact assessments and physical security controls, with documents on request.

Is this Datarails review based on hands-on testing?

No. It is built from the Datarails pricing, product, company and trust pages, the G2 reviews and the Cube and Jirav pricing pages, all read on September 7, 2026.

Which should you choose?

The conclusion of this Datarails review: choose Datarails when your finance team lives in Excel, consolidates more than one entity or system, and wants the data gathering automated without rebuilding the models. Ask for the plan whose user and integration counts match your team, budget the finance team’s own time for the four to six week setup, and take the demo on your real board pack.

Do not choose it if you need a price before a call, if you are a single-entity startup, or if you want to leave Excel. For the mid-sized CFO’s office with models worth keeping, Datarails is the Excel-native platform whose plan table, no-consultant-fee promise and included success manager make the quote easier to judge than most.