Blog · Alternatives and comparisons
Anaplan vs Pigment compared: what each is built for, what it needs before the first answer, and a file-first option when neither fits.
Anaplan and Pigment are both good at what they are built for. Both are planning platforms for finance, sales and workforce. Anaplan runs customer-built multidimensional models on its Hyperblock engine, often in large enterprises with model builders; Pigment offers a shared visual workspace, often for fast-growing mid-market companies. This guide sets them side by side, fairly, and ends with the case where a team needs neither.
| Anaplan | Pigment | Covirage | |
|---|---|---|---|
| Built for | Large enterprises planning across finance, sales, supply chain and workforce in one place; Organisations with a dedicated team of model builders or a centre of excellence | Fast-growing mid-market and upper mid-market companies whose models change often; Finance teams that want to plan across finance, sales and headcount without a dedicated modelling centre | The person waiting for the answer, in a big or medium company |
| How it gets data | Data comes in through Anaplan Data Orchestrator, which has prebuilt connectors for sources including SAP, Salesforce, Snowflake, Databricks, Google BigQuery, Oracle, SQL Server, PostgreSQL, Amazon S3, Azure Blob Storage and SFTP, plus file imports. Third-party reviewers also list integration via iPaaS tools such as MuleSoft, Informatica and Boomi. | Pigment connects to ERP and accounting systems (NetSuite, SAP S/4HANA, Sage Intacct, Xero, QuickBooks), Salesforce, HR systems (Workday, HiBob, BambooHR, Personio and others), data warehouses (Snowflake, Redshift, Azure SQL, Databricks, BigQuery), cloud storage and SFTP, Excel and Google Sheets, and a custom API. | Files and sheets now; scheduled delivery by API, S3, Azure, SFTP or email on Business; connections built with your team on Enterprise |
| Needs before the first answer | Model builders to design and maintain the planning models; Usually an implementation partner (systems integrator); Integration with the ERP, CRM or data warehouse that holds actuals | Someone to design the planning model, in-house or with a partner; Connections to the ERP, CRM, HR system or data warehouse; Discovery and model design work before go-live | The exports your systems already produce. No warehouse, no modelling language, no data team |
| AI | Anaplan groups its AI under Anaplan Intelligence: CoPlanner (a conversational assistant), CoModeler (helps build and document models), Forecaster (machine-learning predictions), Optimizer (an optimisation engine), role-based agents including Finance Analyst (evaluates variances, examines forecasts and surfaces cost drivers), Agent Studio for configuring agents, and an AI Gateway for connecting external language models under governance. | Pigment AI includes a Modeler Agent that builds and changes governed models, an Analyst Agent that analyses data, automates reporting and flags risks and opportunities, custom agents built from user instructions, a Documentation Agent, machine-learning forecasting, a formula explainer, and a Pigment MCP server that links Pigment to external AI systems. A Planner Agent for scenarios and forecasts is listed as coming soon. | The AI model chooses a measure and writes the explanation; our tools do the arithmetic and check every total |
| Published pricing | Anaplan does not publish prices; it quotes per customer. Vendr reports a median annual contract of $114,609 across 67 purchases (range $30,590 to $301,931). CFO Shortlist puts entry-level deployments at about $30K-$50K a year. | Pigment does not publish prices. Vendr reports a median annual cost of $74,000 across 117 purchases (range $33,640 to $168,100), made up of a platform fee, role-based user seats and planning modules. | Three tiers on one sheet, shared in a conversation |
Anaplan is a cloud platform for connected business planning, used for financial, sales, workforce and supply chain plans. Customers build their own multidimensional models on its Hyperblock calculation engine and run budgets, forecasts and scenarios across departments.
Pigment is a cloud business planning platform for finance, sales, workforce and operational planning. Teams model, forecast and run scenarios on connected data in a shared, visual workspace, with AI agents that help build models and analyse results.
Anaplan. Data comes in through Anaplan Data Orchestrator, which has prebuilt connectors for sources including SAP, Salesforce, Snowflake, Databricks, Google BigQuery, Oracle, SQL Server, PostgreSQL, Amazon S3, Azure Blob Storage and SFTP, plus file imports. Third-party reviewers also list integration via iPaaS tools such as MuleSoft, Informatica and Boomi.
Pigment. Pigment connects to ERP and accounting systems (NetSuite, SAP S/4HANA, Sage Intacct, Xero, QuickBooks), Salesforce, HR systems (Workday, HiBob, BambooHR, Personio and others), data warehouses (Snowflake, Redshift, Azure SQL, Databricks, BigQuery), cloud storage and SFTP, Excel and Google Sheets, and a custom API.
Anaplan. Anaplan groups its AI under Anaplan Intelligence: CoPlanner (a conversational assistant), CoModeler (helps build and document models), Forecaster (machine-learning predictions), Optimizer (an optimisation engine), role-based agents including Finance Analyst (evaluates variances, examines forecasts and surfaces cost drivers), Agent Studio for configuring agents, and an AI Gateway for connecting external language models under governance.
Pigment. Pigment AI includes a Modeler Agent that builds and changes governed models, an Analyst Agent that analyses data, automates reporting and flags risks and opportunities, custom agents built from user instructions, a Documentation Agent, machine-learning forecasting, a formula explainer, and a Pigment MCP server that links Pigment to external AI systems. A Planner Agent for scenarios and forecasts is listed as coming soon.
Anaplan:
Pigment:
Both assume a team that will build and maintain a model of the data before questions get answered. Some teams have a narrower need: one desk, one recurring question such as "what is driving my costs" or "where is my revenue coming from", and exports that already exist. For them, Covirage reads those files, answers the question with a bridge that sums to the change, and is set up for them within a week. The AI model chooses the measure and explains it; our tools do the arithmetic.
See the full pages on Anaplan alternatives and Pigment alternatives, or how to evaluate an analytics vendor.
Facts about other products were checked on 24 September 2026 from the pages below. Product names are trademarks of their owners; Covirage is not affiliated with them.
Both are planning platforms for finance, sales and workforce. Anaplan runs customer-built multidimensional models on its Hyperblock engine, often in large enterprises with model builders; Pigment offers a shared visual workspace, often for fast-growing mid-market companies.
It depends on what is in place. For Anaplan: Model builders to design and maintain the planning models; Usually an implementation partner (systems integrator); Integration with the ERP, CRM or data warehouse that holds actuals. For Pigment: Someone to design the planning model, in-house or with a partner; Connections to the ERP, CRM, HR system or data warehouse; Discovery and model design work before go-live. Check both against your team and your data before comparing licence prices.
For a desk that needs to explain why its numbers moved, from exports it already produces, Covirage answers from the file and is set up for you within a week. It does not replace a platform for the whole organisation.