Cube vs. Pigment: spreadsheet-native FP&A or connected planning?
Cube and Pigment can both support planning, reporting, scenarios, integrations, governance, and AI-assisted analysis. The decisive question is operating model: should finance improve its existing spreadsheet-centered workflow, or should several business functions plan together in a shared modeling environment?
Start with the planning behavior you want to institutionalize.
Evaluate Cube first when finance wants governed data and faster planning without abandoning familiar working surfaces. Cube describes bidirectional Excel and Google Sheets workflows, a web Workspace, presentation outputs, and collaboration-tool access. This is especially relevant when finance owns most modeling and business users mainly submit assumptions or consume reports.
Evaluate Pigment first when planning must connect Finance, Sales, HR, Operations, or supply chain in shared models. Pigment positions its platform around governed, live models whose changes flow across business plans. That broader scope can be valuable, but it also raises the importance of model ownership, contributor design, and change management.
Both require a quote. Run a controlled pilot using the same source systems, forecast, headcount plan, cross-functional scenario, board output, permissions, and error cases. Choose on verified workflow fit and three-year ownership cost—not the more polished demonstration.
Cube vs. Pigment at a glance
| Decision point | Cube | Pigment |
|---|---|---|
| Operating center | Finance-led FP&A with governed data delivered through familiar work tools. | Connected planning across finance and operating functions in a shared platform. |
| Working surfaces | Cube Workspace, Excel, Google Sheets, PowerPoint or Google Slides, and collaboration tools depending on plan. | Pigment web platform with Excel and Google Sheets among its listed integrations. |
| Cross-functional scope | Revenue, cash flow, headcount, expenses, scenarios, reporting, close, and consolidation workflows. | FP&A and consolidation plus sales, HR, and supply-chain planning use cases. |
| Model architecture | Governed finance data layer with dimensions, mappings, auditability, and spreadsheet writeback. | Dynamic multidimensional models on Pigment's Graphite engine with shared assumptions and dependencies. |
| Published pricing | Custom quote across Bronze, Silver, and Gold; some capabilities and add-ons vary. | Custom quote; no standard public dollar plan table found on the official site. |
| Primary adoption risk | Recreating spreadsheet sprawl without simplifying model ownership and governance. | Designing a broad platform before teams agree on common drivers, processes, and ownership. |
1. Compare identical commercial scope
Cube's pricing page publishes Bronze, Silver, and Gold plan structures but not dollar prices. Bronze includes the platform, custom roles, and unlimited dimensions, users, and dashboards. Silver adds capabilities such as Slack or Teams, workflow automation, PowerPoint or Google Slides, and MCP. Gold adds premium support and broader integration and workflow access. API access, additional modules, and enhanced support may be add-ons.
Pigment does not publish a standard dollar price table on its current official site. That prevents a credible price winner from being declared before quotes. Ask both vendors to price the same users, contributors, entities, source systems, data history, environments, modules, model-building services, training, support level, and contract term.
Also model renewal uplift, additional users, sandbox needs, API usage, and the cost of extracting data and models if you leave.
2. Decide whether spreadsheets are the workspace or an interface
Cube explicitly makes Excel and Google Sheets working surfaces. Its official platform overview describes bidirectional read and writeback, preserved formulas and formatting, drill-down, and governed access. It also supports a web Workspace and presentation outputs. That can reduce behavior change for a finance team with valuable existing models.
Pigment lists Excel and Google Sheets integrations, but its central proposition is the shared planning platform: contributors work with common structures, assumptions, workflows, and live models. That can make planning less dependent on individual files, but only if business users can navigate the model and own their inputs.
Use one difficult workbook in the pilot. Test formulas, formatting, named ranges, linked files, writeback, concurrent use, refresh speed, scenario switching, comments, and export quality. Then have a department leader update assumptions without a finance analyst guiding every click.
3. Scope connected planning before buying it
Pigment presents dedicated use cases for Finance, Sales, HR, Operations, and supply-chain planning. Its official materials emphasize changes propagating across connected models. This is most useful when the organization genuinely needs shared drivers—for example, a sales-capacity plan that changes bookings, hiring, commission expense, and cash.
Cube presents an FP&A-centered workflow set including revenue planning, cash flow, headcount, expenses, annual budgeting, scenarios, reporting, close, and consolidation. For a finance-led process, that may cover the material decisions without requiring every function to adopt a new modeling environment.
Do not pay for theoretical connected planning. Name the two or three cross-functional decisions that are currently broken, their system owners, update frequency, approval path, and measurable consequence. If the teams will not maintain shared drivers, platform breadth becomes shelfware.
4. Stress-test the model, not the marketing architecture
Cube describes a governed data layer that connects finance systems and supports dimensions, mappings, reconciliation, audit trails, and role-based controls. Pigment describes Graphite as an elastic engine for dynamic, multidimensional models with centralized governance. Those descriptions are useful orientation, not proof that either will handle your hardest model well.
Load the actual dimensionality that creates pain: entities, departments, products, customers, currencies, scenarios, versions, and time. Recalculate a three-year plan after changing volume, price, hiring, collections, and one allocation rule. Record refresh time, broken logic, manual workarounds, and whether a reviewer can trace an output to its source.
Include a structural change mid-pilot, such as a new entity or reorganized department hierarchy. A planning platform should make that change controlled and explainable rather than merely fast.
5. Verify each critical integration end to end
Cube lists connections including NetSuite, Sage Intacct, QuickBooks, Rillet, Salesforce, HubSpot, Workday, ADP, Snowflake, Databricks, and Dynamics 365 Business Central. Pigment lists systems including NetSuite, Sage Intacct, SAP, Salesforce, HiBob, Greenhouse, Lever, Databricks, BigQuery, Looker, Azure SQL, SFTP, cloud storage, Excel, and Google Sheets.
A logo is not an implemented workflow. For each critical source, verify authentication, supported objects, incremental refresh, dimensional mappings, historical backfill, error notification, retry behavior, ownership, and the effect of a source-field change. Reconcile totals from source to model and model to final report.
If a connector depends on a services partner or custom API work, include that labor and maintenance in the quote. Require a named owner for failed jobs and month-end refreshes.
6. Test governance with real people and sensitive data
Cube describes custom roles, role-based controls, cell-level access in Google Sheets, version control, approvals, and audit capabilities. Pigment describes governed data and centralized control; its security site identifies SOC 2 Type II coverage. Security attestations do not replace workflow testing or contract review.
Create roles for the CFO, FP&A administrator, department owner, HR contributor, executive viewer, and external consultant. Confirm who can see individual compensation, change global assumptions, publish a scenario, reopen a submission, export data, alter integrations, and inspect history.
Ask for current security documentation, data-location and subprocessors information, SSO and provisioning details, backup and recovery terms, incident obligations, and deletion procedures. Have the appropriate security and legal owners review them.
7. Put AI behind finance-grade evidence
Cube markets agent teams, an MCP server, natural-language analysis, forecasting, narratives, and root-cause analysis. Pigment markets AI agents grounded in governed models and connections to AI systems through MCP. The useful question is not which demo writes the better paragraph; it is whether the output respects model logic, permissions, context, and review.
Ask questions finance has already solved. Require each answer to expose the scenario, period, entity, currency, filters, calculation path, and source data. Seed a stale mapping, incomplete actuals, and an unauthorized user. Record whether the response surfaces uncertainty and whether a reviewer can reproduce it.
Keep approval rights and the system of record outside the generated narrative. AI can help assemble and explain analysis; it should not silently redefine the plan.
Run this 30-day parallel planning pilot
- Tie out actuals. Load 12 months from the general ledger, CRM, HRIS, and one operational source; reconcile source, model, and report totals.
- Rebuild a real forecast. Preserve the drivers, formulas, dimensions, scenarios, management adjustments, and output used today.
- Plan headcount. Connect approved requisitions, starts, exits, compensation, taxes, and timing while protecting employee-level data.
- Run a connected scenario. Change sales capacity, bookings, hiring, commission expense, collections, and cash; trace every dependency.
- Collect distributed inputs. Have real budget owners submit, comment, revise, and approve without finance acting as full-time support.
- Produce the board package. Refresh the actual tables, charts, variance commentary, and presentation workflow used by leadership.
- Challenge controls and resilience. Seed a bad mapping, late submission, failed integration, unauthorized user, and hierarchy change; inspect recovery and history.
- Price ownership and exit. Compare itemized three-year quotes, internal administration, implementation dependencies, renewal terms, and usable exports.
Recommendation by operating profile
Finance-led, spreadsheet-heavy planning
Your strongest models already live in Excel or Google Sheets, finance owns the process, and familiar presentation or collaboration surfaces matter.
Scaling FP&A with selective collaboration
You need stronger governance and distributed inputs but have not decided whether spreadsheets remain the center or become one interface to a shared model.
Cross-functional connected planning
Finance, Sales, HR, Operations, or supply chain must maintain interdependent plans in a common environment with shared business drivers.
Compare the wider planning market.
Use the rules-based matcher or browse the directory if Cube and Pigment are not the only reasonable candidates. Vendors cannot pay for a higher position.
Frequently asked questions
Is Cube or Pigment better for FP&A?
Neither is universally better. Evaluate Cube first when finance wants governed planning while continuing to work heavily in Excel, Google Sheets, presentations, and collaboration tools. Evaluate Pigment first when the company wants a shared planning environment across Finance, Sales, HR, Operations, or supply chain. Validate the choice with the same data and workflows.
Does Cube replace Excel or Google Sheets?
Cube is designed to work with them rather than force their removal. Its official platform materials describe bidirectional Excel and Google Sheets connections, with formulas and formatting preserved. Test your actual workbooks, macros, linked files, writeback, and exports before assuming every model will behave unchanged.
Can Pigment work with Excel and Google Sheets?
Yes. Pigment lists Excel and Google Sheets among its integrations. Its broader proposition is a governed planning platform with shared models and workflows, so the pilot should test both spreadsheet exchange and the experience of contributors working directly in Pigment.
Which product costs less?
A defensible public dollar comparison is not available. Cube publishes Bronze, Silver, and Gold plan structures but requires a quote. Pigment routes buyers to a demo and quote. Compare identical scope, including users, modules, source systems, environments, implementation, support, model building, and renewal terms.
Should AI features decide the purchase?
No. Both vendors promote AI and agent capabilities. Test them only after data, permissions, model logic, workflow, and auditability are proven. Require every generated explanation or forecast to be traceable to the correct scenario, period, dimensions, and governed source data.
Method and limitations
This guide compares public official product, pricing, integration, platform, and security information reviewed on September 20, 2026. It does not rely on vendor payment, private demonstrations, customer-review averages, or claimed hands-on experience. Recommendations are reasoned from each vendor's documented operating model and must be validated with company data, references, security review, and final contracts.
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