Pigment vs Anaplan vs Workday Adaptive Planning (Q4 2026)

The short version

Workday Adaptive Planning is built on Workday's Elastic Hypercube Technology and integrates with any ERP or GL. It is strongest when planning is shaped like the chart of accounts. Workday cites an average deployment time of 4.5 months.

Anaplan runs two calculation engines. Classic is designed for dense data. Polaris is designed for sparse, high-dimensional models. It has the deepest partner ecosystem of the three and is commonly used for finance, workforce, sales and supply chain planning at large enterprises.

Pigment is the newest of the three, with a modern interface and named-entity formulas rather than cell references. Planning is organized into applications that share blocks and dimensions through libraries.

Where they actually differ

1. The engine and how it handles empty space

Enterprise planning models are mostly empty. Plan revenue by product, region, channel, segment and month, and most combinations never hold a value. How an engine treats that empty space decides whether the model stays fast as it grows.

• Anaplan answers this with two engines. Anaplan's documentation describes Classic as built for dense data sets and Polaris as built for sparse data sets with greater size and dimensionality. A workspace cannot hold both, and Polaris is provisioned only if your subscription includes it. Anaplan also notes that Classic will not receive major new calculation functionality, and that taking full advantage of Polaris means updating your models.
• Pigment does not store empty cells, but its own guidance notes that each added dimension increases the potential intersections a calculation may need to evaluate, which is why dimension scope is a design discipline on the platform.
• Adaptive uses an elastic in-memory engine that adds memory and compute as needed, optimized for financial planning. The thing to test is performance once you add the operational dimensions your finance model does not carry today.

2. One model or several

All three can plan across finance, workforce and operations. The question is whether those plans are one model or several models passing data.

• Anaplan deployments typically separate domains into distinct models, linked through data hubs and imports.
• Pigment organizes planning into applications. Libraries make blocks and views available to other applications, and Pigment documents a multi-application architecture as the standard pattern.
• Adaptive is centered on financial planning, with workforce and operational planning added alongside it. Bookings, KPI and commission models frequently end up outside the platform.

Any time two models pass data, someone owns the reconciliation.

3. Scenarios and versions

This is where day-to-day experience diverges most. Pigment's own guidance says scenarios are designed for lightweight comparisons rather than full planning architectures, and that maintaining many active scenarios can affect application performance. In Anaplan, scenario capacity is bounded by the engine and workspace the model sits in. In Adaptive, versions follow the structure of the single financial model.

The test that matters: can you build a scenario that differs structurally from the base plan, not just in its inputs, and compare it without slowing everyone else down?

4. Who builds and maintains it

• Anaplan has a large certified partner ecosystem, and most enterprise deployments are partner-led. Third-party benchmarks put typical enterprise implementations at four to 12 months, and many customers keep a partner or an internal center of excellence for ongoing changes.
• Adaptive uses its own formula syntax and is commonly implemented with a certified partner.
• Pigment formulas reference entities by name, which reviewers find cleaner than cells, though several G2 reviewers describe a steep learning curve and note that it is not "just like Excel."

5. AI

• Anaplan offers role-based Analyst agents for finance, workforce, sales and supply chain, CoModeler for model building, and Agent Studio for configuring agents. Analyst usage is mesured by credits.
• Pigment offers an Analyst agent, available to all customers since September 2025, and a Modeler agent, with further agents on its roadmap.
• Workday offers Workday Illuminate AI agents, including a Planning Agent, consumed through Workday Flex Credits.

The structural question for any AI layer is the same: does it reason over the live model with your permissions applied, or over a copy of the data sitting next to it?

6. Pricing

None of the three publishes pricing. Pigment licenses Explorer, Contributor and Editor seats. Anaplan cost depends on user types, model size and add-ons such as Anaplan Data Orchestrator, which is purchased in packages. Adaptive enterprise deployments commonly license workforce, sales and operational planning separately. In all three cases, ask for the fully loaded first-year number, including implementation, modules and AI consumption.

How to choose

Choose Adaptive if your planning genuinely is GL-based, your dimensionality is modest, and fast deployment matters more than operational depth.

Choose Anaplan if you need very large multi-domain models, already have or want a partner relationship, and can commit to the right engine for each model up front.

Choose Pigment if interface and adoption speed are the priority and your scenario volume is moderate.

The fourth option worth testing

If your shortlist is these three, it is usually because planning has outgrown spreadsheets and a single financial model at the same time. That is the problem Fintastic was built for.

Fintastic holds financial, revenue, workforce and operational planning in one model, with one engine that handles sparse and dense data without an upfront architectural choice. Every version can carry its own data, formulas and dimensions, and adding versions does not slow the model. Your own analysts build and own the model, typically reaching self-sufficiency in three to four weeks, and pricing is based on company size with unlimited users and data. The Fintastic AI Agent works on the live model with each user's own permissions.

Priceline switched from Anaplan. Five models became one, scenario calculations went from 15 minutes to 13 seconds, and a CFO sandbox request that used to take a full day now reaches the CFO in five to ten minutes.

What to ask in every demo

• Build my model at my real dimensionality and run a full recalculation while I time it.
• Show me two scenarios with different structures compared side by side.
• Have three people edit the same plan at once.
• Show me the last model change a customer made without a partner.
• Give me the total first-year cost, including implementation, modules and AI usage.

Comparison based on publicly available vendor documentation, third-party reviews and customer accounts as of Q4 2026. Vendor capabilities change, so verify current details with each vendor.