Top 10 Best Projections Software of 2026

Vena’s core fit comes from planning workflows that combine model logic, guided input screens, and controlled publishing, which reduces reliance on manual spreadsheet handoffs. The automation surface centers on how changes propagate through the model after data refresh and how teams move from draft to locked forecast versions for consolidation. For teams doing multi-entity rollups with standardized definitions, the model configuration approach keeps entity logic consistent while still allowing entity-level overrides.

A key tradeoff is that model governance and performance depend on disciplined configuration, because overly granular drivers and large input workspaces can slow refresh and iteration. Vena works well when a FP&A team owns the forecasting logic centrally but needs department-level users to enter assumptions through structured forms during a rolling forecast cycle.

Anaplan is used by forecasting teams to build driver-based models with reusable calculation logic and clear separation between inputs and outputs. It handles multi-entity planning with consolidation-ready structures, and it fits rolling forecasts where users rerun the planning cycle on a fixed horizon. Data ingestion from enterprise systems is commonly used for actuals baselines, and calculated outputs are distributed to downstream reporting.

The tradeoff is that model performance and governance depend on how modules, sparsity, and input granularity are designed. Teams typically choose Anaplan when planning work needs a controlled authoring workflow across departments, not just dashboarding over static datasets. A common usage situation involves linking headcount ramp assumptions to financial impacts and running scenario comparisons for different operating plans.

Prophix is used to design driver-based models where assumptions flow through calculation logic and roll up into financial statements for scenario comparison. Forecasting teams can structure inputs and calculations as reusable building blocks, then run rolling updates across time periods. Actuals integration supports the plan versus actuals bridge by loading operating results into the same model dimensions used for forecasts.

A practical tradeoff is that Prophix modeling depth depends on disciplined configuration of data mappings and calculation rules, which can slow initial deployment for teams that lack model owners. Prophix is a good fit when forecasting cycles require repeatable scenario layering across many cost centers or entities and when controlled publishing is needed for audit-ready change history.

Jirav is a projections software built around driver-based forecasting workflows, with a spreadsheet-like data entry experience backed by model logic. It supports plan vs actuals variance analysis, rolling forecast horizons, and scenario layering for operational and financial planning.

Jirav also connects actuals from common accounting sources and supports multi-entity rollups so teams can move from line items to consolidated views. Automation is delivered through repeatable import and calculation runs plus an integration-focused API surface for syncing data and metadata.

Fathom builds driver-based forecasts from structured inputs and publishes model outputs for planning cycles. The tool focuses on scenario analysis and rolling updates by linking assumptions to calculated projections across multiple entities.

Fathom also supports automation through templates and API-based integrations that move actuals and assumptions between systems. Governance features emphasize controlled revisions and auditability for forecast versions used by FP&A teams.

LivePlan targets small teams that need fast financial projections and board-ready business plans without building a custom model. It provides guided input for key statements, built-in templates for common forecast structures, and scenario switches for comparing plan versus updated assumptions.

The workflow emphasizes iterative updates in the browser and export-ready outputs for review cycles. Compared with heavier enterprise planning suites, LivePlan focuses on getting from assumptions to forecasts quickly rather than supporting multi-entity consolidation at scale.

Spotlight Reporting focuses on spreadsheet-style planning workflows that connect projections to structured data sources for repeatable FP&A cycles. Forecast templates can be parameterized for driver-based runs, then published as plan and variance outputs tied to consistent mapping rules.

Administration and governance are handled through controlled data connections, versioned workspaces, and controlled report access so teams can run rolling forecast updates without rework. Scenario analysis outputs are produced from the same underlying assumptions layer, which keeps what-if results comparable across revisions.

Float positions itself as a planning and forecasting tool built around spreadsheet-like modeling with browser-based execution, so teams can move from workbook logic to shared, governed forecasts. Core capabilities include driver-based assumptions, versioned scenarios, and workflows for plan vs actuals comparisons with review cycles.

Float supports data import and export paths for actuals integration, and it offers an API surface for automating model updates and pulling forecast outputs. Consolidation across entities is supported through configurable rollups, which helps teams standardize bottom-up inputs into reporting views.

Workday Adaptive Planning calculates and publishes forecasts using a planning data model that can be configured for corporate FP&A workflows. It supports driver-based planning, structured planning calendars, and multi-step approval flows for plan and forecast cycles.

Integration centers on Workday ecosystem connectivity, along with APIs for feeding actuals and pushing plan outputs to downstream systems. Governance is handled through role-based access controls tied to workbooks, planning dimensions, and submission rules.

Planful is a planning and forecasting solution built for FP&A teams that need repeatable models with strong change control across many contributors. It supports driver-based forecasting workflows, scenario and what-if modeling, and multi-entity reporting designed for consolidation use cases.

Planful also provides data connectivity for actuals ingestion and reconciliation workflows that connect plans back to performance. Administration and governance features center on permissions, audit visibility, and controlled versioning for forecast cycles.