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Platform Comparison

Anaplan vs IBM Planning Analytics: Honest Comparison

Two enterprise planning giants with very different architectures. We've worked with both for years - here's what actually matters.

Different philosophies, proven results

Anaplan is cloud-native, built for connected planning across the enterprise. The Hyperblock engine handles multi-dimensional models with real-time calculation. Modern interface, API-first architecture, strong in sales and supply chain planning as well as finance.

IBM Planning Analytics (powered by the TM1 engine) has decades of enterprise pedigree. Exceptional calculation speed, deep Excel integration, and flexibility to handle complex scenarios that push other platforms to their limits. Available on-premise, cloud, or hybrid.

This is often a choice between modern architecture and proven depth. Both platforms can achieve similar outcomes - the path to get there differs significantly.

Side-by-side comparison

Anaplan IBM Planning Analytics
Calculation engine Hyperblock (cloud) TM1 (in-memory OLAP)
Deployment options Cloud only Cloud, on-premise, hybrid
Excel integration Add-in available Deep, native PAx
Complex allocations Strong Exceptional
Pre-built applications App Hub available Accelerators available
User interface Modern web UI PAW or Excel
Market position Cloud EPM leader Enterprise incumbent
AI capabilities Anaplan Intelligence IBM watsonx integration

How each platform approaches AI

Both platforms have AI capabilities, but the integration and focus differ.

Anaplan Intelligence

Native AI across the platform. Role-based agents for Finance, Sales, Supply Chain, and Workforce. CoModeler generates model structures from requirements. PlanIQ provides time-series forecasting and what-if simulations.

IBM Planning Analytics AI

AI-powered forecasting and scenario modelling built into the TM1 engine. Integration with IBM's watsonx for enterprise AI capabilities. Natural language querying and predictive insights surfaced within Planning Analytics Workspace.

Anaplan's AI feels more tightly integrated into the planning workflow. IBM's approach leverages their broader AI portfolio. Both are improving rapidly - base your decision on core planning needs rather than AI features alone.

Choose Anaplan when...

You want cloud-only simplicity

No infrastructure to manage, automatic updates, global access without VPN. If your IT strategy is cloud-first with no exceptions, Anaplan fits cleanly.

Sales and supply chain planning are priorities

Territory planning, quota management, demand forecasting. Anaplan has strong pre-built applications and a large customer base in these areas.

You value modern UX for end users

Anaplan's web interface is more contemporary than Planning Analytics Workspace. If broad user adoption across non-finance functions matters, this helps.

You're starting fresh

No legacy TM1 to migrate, no embedded Excel workbooks to preserve. Anaplan's architecture is simpler to learn when you're not carrying technical debt.

Choose IBM Planning Analytics when...

You need deployment flexibility

On-premise for data sovereignty, cloud for convenience, or hybrid. Some industries and geographies require this flexibility. Anaplan simply doesn't offer it.

You have existing TM1 investments

Migrating from TM1 to Anaplan means rebuilding everything. Upgrading TM1 to Planning Analytics Workspace preserves your models and logic. Sometimes evolution beats revolution.

Excel is non-negotiable for your users

Planning Analytics for Excel (PAx) provides deep, native Excel integration. Users work in familiar spreadsheets with live TM1 data. This isn't an add-in bolted on - it's how the platform was designed to be used.

You have extreme complexity

Transfer pricing, multi-step allocations, complex profitability models. TM1's rules engine handles scenarios that would require workarounds in other platforms. Decades of enterprise refinement show in edge cases.

Trade-offs to consider

Anaplan's simplicity has limits

The same architecture that makes Anaplan easier to learn can feel constraining for complex scenarios. Some TM1 power users find the modelling less flexible.

TM1 expertise is harder to find

The TM1 talent pool is smaller than Anaplan's. Deep TM1 skills take years to develop. Plan for how you'll resource ongoing maintenance and enhancements.

IBM's cloud journey continues

Planning Analytics is available on cloud, but the platform's heritage is on-premise. Some organisations find the cloud experience less polished than cloud-native alternatives.

Both require significant investment

Neither platform is simple or cheap to implement well. Budget for proper design, training, and ongoing support regardless of which you choose.

What about cost?

Both are enterprise platforms with enterprise pricing. Neither publishes rates, and both negotiate based on scope, user counts, and competitive pressure.

IBM's licensing model can be more flexible - particularly for organisations with existing IBM relationships or enterprise license agreements. Anaplan's model is more straightforward but less negotiable.

Total cost of ownership often favours existing TM1 customers staying with IBM (upgrade vs. migration). For greenfield implementations, the gap narrows and sometimes favours Anaplan depending on use cases.

When neither platform is right

These are both powerful, complex platforms. Sometimes simpler solutions fit better.

You want faster implementation. Pigment or Planful can deliver working solutions in weeks rather than months. If time-to-value matters more than depth, consider them.

Your needs are primarily consolidation. If financial close and statutory reporting are the main requirements, purpose-built consolidation tools may be more efficient than general EPM platforms.

You have limited internal resources. Both Anaplan and IBM Planning Analytics benefit from dedicated internal expertise. If you can't staff that capability, simpler platforms require less ongoing investment.

Practical next steps

Assess your deployment requirements

Cloud-only acceptable? Data sovereignty requirements? On-premise mandates? This single question often determines the shortlist.

Evaluate existing investments

Current TM1 customer? IBM enterprise agreement? These factors significantly impact the business case. Don't ignore sunk costs and switching costs.

Test your complex scenarios

Bring your hardest modelling problem to proof of concept. Both platforms handle simple budgeting easily. Edge cases reveal real differences.

Plan for skills and support

How will you resource ongoing maintenance? Internal team, managed service, or implementation partner? This affects both platforms but in different ways.

Anaplan vs IBM Planning Analytics FAQs

Should I migrate from TM1 to Anaplan?
Maybe. If your TM1 environment is working well, upgrading to Planning Analytics Workspace is usually lower risk and cost than migrating to Anaplan. If TM1 isn't meeting your needs - particularly for connected planning or modern UX - then Anaplan becomes worth considering. Migration is essentially a reimplementation; budget accordingly.
Is TM1 outdated technology?
No. TM1 is mature, not outdated. IBM continues investing in the platform with modern interfaces (PAW), cloud deployment, and AI integration. The in-memory OLAP engine is still one of the fastest available. "Old" doesn't mean slow or incapable - decades of refinement have benefits.
Which is better for supply chain planning?
Anaplan has more pre-built supply chain content and a larger supply chain customer base. IBM Planning Analytics can handle supply chain scenarios through custom modelling. For dedicated supply chain planning, Anaplan is often the more common choice. For integrated finance and supply chain within an existing TM1 environment, extending IBM makes sense.
Do you recommend one over the other?
It depends entirely on your situation. We've recommended both in different circumstances. Cloud-first strategy, greenfield implementation, strong sales/supply chain needs? Often Anaplan. Existing TM1 investment, on-premise requirements, extreme modelling complexity, Excel-centric users? Often IBM. The right answer requires understanding your specific context.

Need help deciding?

We've worked with both platforms for years and can give you objective guidance. Whether you're considering a new implementation or evaluating a migration, let's talk through your options.