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How to choose an FP&A and financial planning tool

FP&A tools split into spreadsheet-native and connected-planning engines; pick by who else plans besides finance and what platform you're already on.

FP&A tools exist to replace a budget spreadsheet that has quietly become unmanageable: dozens of tabs, broken links, one person who knows which version is current. What they add is a governed data layer behind the model — connections to accounting, CRM and HR systems that keep numbers current — plus driver-based planning, scenario modeling and reporting on top. A team with one P&L and a handful of assumptions can go a long way on a spreadsheet alone. The buyers in this category are teams whose planning now spans multiple departments, entities or scenarios and where the spreadsheet itself has become the bottleneck.

Spreadsheet-native or a proprietary modeling engine

Most of the tools in this category answer one core question differently: should finance keep working in Excel or Google Sheets, or move into the vendor's own grid?

Cube, Datarails and Vena all keep the spreadsheet as the primary interface, syncing a governed data layer behind familiar formulas and formatting rather than asking analysts to relearn how to build a model. Anaplan, Pigment, Oracle Fusion Cloud EPM and, to a large extent, Workday Adaptive Planning and Planful instead replace the model with a proprietary calculation engine, built to support multiple contributors editing large, multi-dimensional models at once — something a spreadsheet struggles with past a certain size.

Spreadsheet-native tools lower the change-management cost: analysts keep their formulas, and adoption rarely needs a training program. Proprietary engines handle bigger, more connected models with less manual reconciliation, but they ask your team to learn a new authoring environment, and they are harder to unwind later if the vendor relationship sours.

Who else besides finance is planning

Some of these platforms are built for finance alone; others are built for "connected planning" across the business. Anaplan and Pigment both position themselves this way — sales, supply chain and workforce teams build parallel models on the same underlying data as finance, on one shared calculation engine. Workday Adaptive Planning connects specifically to workforce and headcount data through Workday HCM. Oracle Fusion Cloud EPM goes further still, adding tax reporting and enterprise profitability and cost management alongside planning.

If finance is the only function actually planning, a narrower, finance-only tool like Datarails or Cube is usually a lighter lift than a connected-planning platform built for five departments to share. If sales, operations and HR are all going to build models against the same numbers, the connected-planning tier earns its complexity.

Who the vendor is actually selling to

Jirav is a different kind of buyer entirely: it is built for accounting and CFO advisory firms to deliver forecasting and reporting as a branded service to their own clients, with white-labeling and unlimited read-only client access, rather than for an in-house finance team buying for itself. If you are an advisory firm evaluating this category, your shortlist and your questions to vendors both look different from a corporate finance team's — ask specifically about multi-client management and white-label branding, which most of the rest of this category does not offer at all.

Data connections and the ecosystem you're already in

Three tools are effectively platform-native: Vena runs inside Microsoft 365, surfacing dashboards in Excel, Power BI and Teams; Oracle Fusion Cloud EPM is built to sit alongside Oracle Fusion ERP and NetSuite; Workday Adaptive Planning is sold both standalone and bundled with Workday HCM and Financials. If your company is already standardized on one of those stacks, the native tool usually wins on integration depth, single sign-on and support cost, even before comparing features. Abacum, Anaplan, Pigment, Cube and Datarails are vendor-agnostic by design, each publishing wide connector libraries rather than favoring one ERP.

How pricing actually scales

No prices belong on this page — check the profiles, which carry verified figures with a check date. What is worth knowing here is the structure: Jirav is the outlier, publishing two starting monthly prices rather than requiring a sales call. Cube and Datarails publish named plan tiers (entry, mid, enterprise for Cube; Professional, Premium, Expert for Datarails) without dollar figures. Every other vendor here — Abacum, Anaplan, Oracle EPM, Pigment, Planful, Vena, Workday Adaptive Planning — is fully quote-based, typically scoped by modules, seats and data volume. Ask each vendor what specifically drives your invoice, and get a number scaled to the departments and entity count you expect once the rollout is complete, not the pilot.

Shortlist by situation

  • If you want to keep the whole team working in Excel while data is centralized behind the scenes, look at Datarails or, if you are standardized on Microsoft 365, Vena.
  • If you want spreadsheet-native planning that also syncs into Slack, Teams and BI tools, look at Cube.
  • If you need one connected model spanning finance, sales, supply chain and workforce planning at enterprise scale, look at Anaplan or Pigment.
  • If you are already on Workday for HR and financials and want planning tied to that data, look at Workday Adaptive Planning.
  • If you are already on Oracle ERP and need full-depth planning, consolidation and tax reporting in one suite, look at Oracle Fusion Cloud EPM.
  • If you want planning and financial close in one connected platform, look at Planful.
  • If you want AI-assisted planning across a large number of source systems and are comfortable with a newer, AI-native vendor, look at Abacum.
  • If you are an accounting or CFO advisory firm delivering forecasting as a client service, look at Jirav.

Questions to ask vendors or in a trial

  • What specifically drives our price — seats, modules, connected data sources, model size — and what does that look like at the scale we expect in two years?
  • If we keep working in Excel, exactly what breaks or slows down as the model grows, and at what size?
  • How many departments outside finance can realistically build and maintain a model here, given our team's skills today?
  • What does migrating our current spreadsheet model into this tool actually involve, in weeks?
  • If we outgrow this tool, how do we get our historical models and data out?

Common mistakes

Buying connected-planning capability for finance alone is the most common overspend — the shared calculation engine and multi-department governance that justify Anaplan- or Pigment-scale pricing go unused if sales and ops never build a model in the tool. The opposite mistake is choosing a lightweight, finance-only tool and discovering a year later that other departments needed to plan against the same data and now maintain a second, disconnected spreadsheet instead. And because data modeling discipline matters more than the tool, a messy chart of accounts or inconsistent department hierarchy will produce a messy plan in any of these products — fix that first.

For two of these matchups worked through in detail, see Anaplan vs Workday Adaptive Planning and Datarails vs Vena. For the full list of tools in this category, see every tool in this category.

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