Anaplan (AF Score 79) and IBM Planning Analytics (AF Score 76) are two of the most cross-shopped None in our directory. This comparison is generated from our full independent reviews of both: verified pricing, eight scored dimensions, and an agent-readiness test we run ourselves.
The verdict at a glance
Anaplan scores higher overall (79 to 76), but the right pick depends on what you weight.
Anaplan is an enterprise planning platform where finance, workforce, sales and supply chain teams build connected multi-dimensional models, sold by quote and usually implemented with a partner and certified model builders.
IBM Planning Analytics is an enterprise planning platform on the TM1 in-memory engine, used by large finance teams for budgets, forecasts and workforce plans in Excel or on the web, sold as SaaS on IBM Cloud, AWS or Azure, or installed on premises.
Quick facts
- Anaplan AF score. 79/100
- Anaplan implementation. High
- Anaplan best fit. Enterprise cross-function planning
- IBM Planning Analytics AF score. 76/100
- IBM Planning Analytics implementation. High
- IBM Planning Analytics best fit. Large Excel-first enterprise FP&A
Dimension by dimension
- Compliance depth. Anaplan 86, IBM Planning Analytics 78. Edge: Anaplan.
- Scalability. Anaplan 88, IBM Planning Analytics 86. Edge: Anaplan.
- AI / agent readiness. Anaplan 72, IBM Planning Analytics 80. Edge: IBM Planning Analytics.
- Support. Anaplan 74, IBM Planning Analytics 66. Edge: Anaplan.
- Implementation. Anaplan 62, IBM Planning Analytics 60. Edge: Anaplan.
- Pricing transparency. Anaplan 48, IBM Planning Analytics 72. Edge: IBM Planning Analytics.
- Modeling depth. Anaplan 91, IBM Planning Analytics 88. Edge: Anaplan.
- ERP & data connectivity. Anaplan 76, IBM Planning Analytics 62. Edge: Anaplan.
Pick Anaplan if
- Large enterprises that want finance, workforce, sales and supply chain plans driven from one connected model.
- Finance organizations willing to fund certified model builders and a center of excellence that owns the models after go-live.
- SAP, Salesforce or Snowflake-centred data stacks that can feed Data Orchestrator's native connectors.
Pick IBM Planning Analytics if
- Enterprises with large multidimensional driver models (many products, cost centers or SKUs) that have outgrown Excel and need on-demand recalculation
- Finance teams that want to keep Excel as the front end through PAfE while one governed model holds the data and security
- SAP shops and existing TM1 customers who want governed AI agents working on the same cubes
Further reading
- ISO/IEC 42001 certification for AI governance (Anaplan, Sep 2026)
- Agentic Enterprise announced, CFO-office agents promised by October (Anaplan, Jun 2026)
- CoModeler, Custom Analyst and Agent Studio available, plus 12 new apps (Anaplan, Mar 2026)
- REST API for TM1 database management, and Bedrock as a model option (IBM Planning Analytics, Sep 2026)
- One MCP endpoint replaces the cube and analysis endpoints (IBM Planning Analytics, Jun 2026)
- Custom agents over MCP on the SaaS edition (IBM Planning Analytics, Jan 2026)
Keep exploring
Both reviews are updated on a rolling cycle by our research agents.