Top Picks
Anaplan is an enterprise planning platform built around a proprietary in-memory calculation engine designed to handle models of a scale and complexity that spreadsheets or lighter FP&A tools cannot support. It is used by large enterprises for interconnected planning across finance, supply chain, sales, and workforce — often replacing multiple disconnected planning systems with one model-driven platform. Implementation is significant: Anaplan projects typically involve specialist consultants and months of model-building before going live. The ongoing maintenance of complex models also requires dedicated expertise. Anaplan is best for large organizations with multi-dimensional planning needs, dedicated FP&A headcount, and the budget to support a meaningful implementation and ongoing model ownership.
Planful is a cloud-based financial performance management (FPM) platform that sits between full enterprise EPM and lighter modern tools. It covers financial consolidation, reporting, and planning in one system, with structured workflow support for budget cycles, variance analysis, and board reporting. Planful has invested in AI-assisted features for anomaly detection and forecasting, but its core value is a structured planning process that scales from departmental budgets to consolidated financials. It integrates with common ERPs and accounting systems and supports accrual accounting workflows that align the budget model with the general ledger. Planful is best for mid-market to enterprise finance teams that need more process structure than Excel but are not ready for the complexity of Anaplan.
Datarails takes a different approach from most FP&A platforms: rather than asking finance teams to move out of Excel, it connects to Excel files and centralizes data collection while leaving the familiar spreadsheet interface in place. Finance teams continue building models in Excel; Datarails handles version control, data consolidation across submissions, and reporting. The approach removes a major adoption barrier — finance professionals who have built sophisticated Excel models over years are not asked to relearn a new interface. The trade-off is that model complexity is bounded by what Excel can do, and very large or multi-dimensional models still hit limitations. Datarails is best for finance teams that are heavily Excel-dependent and want structure and consolidation without a full platform migration.
Cube is a planning platform that also preserves the Excel and Google Sheets workflow, but with more emphasis on a native web interface alongside spreadsheet connectivity. It targets smaller FP&A teams — often a single finance lead or a two-person department — that need to connect data from multiple sources, maintain a single version of truth, and produce board-ready reporting without building out an enterprise platform. Cube's deployment is fast relative to larger tools, and its pricing reflects its focus on lean finance teams. For tracking key metrics like ARR and department-level budgets, Cube provides the structure that a pure spreadsheet approach lacks without the overhead of a full EPM implementation. Cube is best for finance teams of one to three people at companies that have outgrown ad hoc spreadsheets.
Mosaic is a strategic finance platform designed for venture-backed and growth-stage companies. It connects directly to your ERP, CRM, and HRIS to pull actuals automatically, then provides a model layer for budgeting, headcount planning, and scenario analysis. Mosaic's interface is designed for finance leaders who need to move fast — monthly close, board package preparation, and ad hoc scenario modeling without waiting for data to be manually refreshed. It handles ARR tracking, unit economics, and cohort analysis in ways that general-purpose budgeting tools do not prioritize. Mosaic is best for Series A through Series D companies with a dedicated finance function that needs speed and SaaS-specific metrics without enterprise implementation overhead.
Pigment is a planning platform that emphasizes visual model-building and cross-functional planning beyond the finance team. Its interface allows non-technical users to understand and interact with financial models, which is meaningful for organizations where FP&A needs to involve sales, marketing, and operations leaders in the planning process. Pigment's calculation engine handles complex multidimensional models, and its collaboration features support concurrent editing and model versioning. It positions itself between the modern startup tools like Mosaic and enterprise tools like Anaplan — capable of handling significant complexity while remaining faster to deploy than traditional EPM. Pigment is best for fast-growing companies that need cross-functional planning and want a visually accessible model environment.
Runway is the most accessible entry point in this list — designed for early-stage companies that need cash forecasting, headcount modeling, and scenario planning before they have a dedicated FP&A hire. It connects to accounting software, bank accounts, and payroll systems to build a live financial model from actual data, and lets founders or generalist operators run what-if scenarios without building custom spreadsheet models. Runway does not try to be a full EPM platform. Its constraint is scope: it handles the core planning questions for early-stage companies but is not designed for the budgeting process complexity of a 200-person company. Runway is best for pre-Series B companies that need structured cash visibility and scenario modeling without a finance team.
Buyer's Guide
The most important distinction in FP&A tools is not between individual platforms — it is between three fundamentally different architectural approaches: Excel-native, modern standalone, and enterprise EPM. Each involves different trade-offs in deployment time, adoption friction, model flexibility, and ongoing ownership cost.
Excel-native tools (Datarails, Cube, Vena) layer structure and connectivity onto spreadsheets. Deployment is faster because the interface is familiar, but the ceiling on model complexity is lower. These tools are often the right middle ground for finance teams that have invested years in Excel-based models and face internal resistance to platform migrations.
Modern standalone tools (Mosaic, Pigment, Runway, Causal) are built for speed of deployment and SaaS-specific metrics. They are better at connecting to cloud data sources and reflecting current-period actuals than legacy EPM tools. Their limitation is that they are less suited to large-organization budgeting processes that require tight integration with general ledger systems and complex consolidation logic.
Enterprise EPM platforms (Anaplan, Planful, Prophix) are designed for the full planning cycle at scale — financial consolidation, structured budget workflows, multi-entity reporting, and integration with ERP systems. Deployment takes longer and requires more internal ownership, but the platform can handle planning complexity that lighter tools cannot.
A practical note on spend data: FP&A models are only as accurate as the actuals feeding them. If your spend data is fragmented across multiple systems, improving data consolidation at the source — including spend management tools — has more impact on forecast accuracy than switching planning software. For context on how spend management tools fit into this picture, see our Ramp vs. Rippling comparison as an example of how spend and HR data can feed finance models.
Key evaluation questions: How many people need to interact with the model? If it is one or two finance professionals, lean tools are appropriate. If department heads need to submit their own budget inputs, you need workflow support. How often do your models change structure? If you are frequently rebuilding assumptions, visual model tools like Pigment are faster to modify than formula-heavy spreadsheets.
Pricing Reality Check
FP&A tool pricing is rarely published transparently and almost always involves annual contracts. Enterprise platforms like Anaplan carry implementation costs that can dwarf the software license in the first year — factor in consulting fees and internal time for model-building, not just the platform price.
Excel-native tools typically cost less than full EPM platforms but more than raw spreadsheets. The hidden cost is the time required to structure your existing Excel models for the platform's consolidation logic — this can be a multi-week project for complex models.
Modern startup FP&A tools are often priced on a per-seat or headcount basis, which makes them predictable but can create pressure to limit platform access across departments, partially undermining the cross-functional planning value. Confirm whether department heads who need to submit inputs are counted as seats.
Enterprise platforms often include multi-year contract incentives that reduce per-year cost at the expense of flexibility. For organizations still figuring out their planning process, locking into a multi-year EPM contract before the model is stable is a risk worth considering alongside accrual accounting complexity that the platform will need to handle at year-end.
Verdict
For early-stage companies without a dedicated finance team, Runway or Mosaic provide the cash visibility and scenario modeling that founders actually need — without requiring an FP&A specialist to operate them.
For growing companies with a finance function that is still heavily Excel-dependent, Datarails or Cube offer structure and consolidation without forcing a platform migration. The adoption path is smoother because the interface is familiar.
For mid-market finance teams that need cross-functional planning and visual model accessibility, Pigment is the most compelling option in the modern standalone category — capable enough for real complexity, faster to deploy than enterprise EPM.
For structured enterprise-scale planning with ERP integration, Planful handles the full FPM cycle without the implementation overhead of Anaplan. Anaplan remains the strongest option for genuinely large-scale, multi-dimensional enterprise planning, but the investment in implementation and ongoing model ownership should be evaluated honestly before committing.
Key Takeaways
- The Excel-native vs. modern standalone vs. enterprise EPM distinction matters more than individual feature comparisons — choose the architecture that matches your team's actual workflow.
- Implementation cost and ongoing model ownership are the hidden costs in enterprise EPM; these often exceed the license fee in year one.
- FP&A tools are only as accurate as the actuals feeding them — improving data consolidation at the source has more impact on forecast quality than switching planning software.
- Startup-focused tools handle SaaS metrics and speed-of-iteration better than legacy EPM; legacy EPM handles consolidation complexity and ERP integration better than startup tools.
- Cross-functional budget input collection requires workflow support — confirm whether your shortlisted tool handles department submissions natively.
Next step: map your current planning workflow against the three architectural categories, then evaluate one tool from the matching category before expanding your search.
