Independent comparison for enterprise buyers. Updated May 2026.
Quick verdict: Choose Mode when SQL plus Python and R notebooks match how analysts work and the audience is data-team-centric. Choose Sigma when business users want a spreadsheet-style interface over cloud warehouse data with governed templates. Mode targets analysts; Sigma targets business users who think in spreadsheets.
| Criteria | Mode Analytics | Sigma Computing |
|---|---|---|
| Rating | 4.3 / 5.0 (480 reviews) | 4.3 / 5.0 (620 reviews) |
| Deployment | Cloud (Mode Cloud, ThoughtSpot-owned) | Cloud (Sigma Cloud) |
| Pricing Model | Per-user with workspace tiers | Per-user with editor/explorer/viewer |
| Best For | Analyst notebooks, SQL+Python | Business users on cloud warehouses |
| Primary Interface | SQL editor, notebooks, reports | Spreadsheet workbooks |
| Notebook Support | Python and R notebooks | Limited |
| Data Source | Snowflake, BigQuery, Redshift | Snowflake, BigQuery, Databricks, Redshift |
| Governance | Workspace and folder permissions | Row-level security, governed templates |
| AI Features | ThoughtSpot Sage integration roadmap | Sigma AI assistant |
Mode's interface is built around analyst workflows: a SQL editor, Python and R notebooks, and dashboard composition. The product is popular in data teams that treat analysis as exploratory work and want to share results with stakeholders. After ThoughtSpot's 2023 acquisition, Mode continues as a standalone product with integration paths into the broader ThoughtSpot platform.
Sigma takes a different approach: present cloud warehouse data through a spreadsheet-style workbook interface that business users already understand. Formulas, pivot tables, and what-if scenarios work over governed data, with row-level security and templates handled by the platform. Performance comes from pushing computation down to the cloud warehouse.
For analyst-led exploratory analysis with SQL and notebooks, Mode is the stronger fit. For business users who think in spreadsheets and need governed access to cloud warehouse data, Sigma is more natural. The two products rarely shortlist together in practice — the audience defines the choice.
Mode offers a free Studio tier for small teams. Paid Business plans start around $750/month; Enterprise plans scale with user count and are negotiated. Mode is materially cheaper than most enterprise BI tools for analyst-focused deployments.
Sigma pricing is per-user with editor, explorer, and viewer tiers. Public references suggest list pricing around $600/editor/year, $300/explorer/year, and $150/viewer/year, with enterprise discounts. A 200-user deployment commonly lands at $50,000-$120,000/year depending on the editor mix.
Choose Mode when the audience is analyst-heavy, when SQL plus Python/R notebooks match your workflow, when you want to share notebook-driven analysis with stakeholders, or when budget pressure rules out per-user enterprise BI tools.
Choose Sigma when business users need direct access to cloud warehouse data through a spreadsheet interface, when what-if and scenario analysis matters, when governed templates over raw data reduce ungoverned exports, or when your warehouse is Snowflake, BigQuery, or Databricks.
This Mode vs. Sigma comparison summarises the practical differences between the two options for enterprise buyers. The analysis covers pricing models, target customer size, deployment options, integration coverage, and customer-reported strengths. Use the related comparisons below to evaluate either product against other alternatives.