Sigma vs ThoughtSpot

Quick verdict

Sigma Computing describes itself as "the platform for analytics, applications, and agents", building on "live warehouse data, with governance inherited at the source". Users work in browser-based workbooks with a spreadsheet-like formula interface, tables, pivots, charts and controls; builders can also use SQL and Python. Sigma Help lists connections to Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, AlloyDB, MySQL, Azure SQL Database, SQL Server 2022 and Azure SQL Managed Instance, Starburst, and MotherDuck in beta. Sigma is SaaS only.

ThoughtSpot is an analytics platform where users explore data through natural-language search and the Spotter AI agents, and publish interactive dashboards called Liveboards, over Models that analysts define. ThoughtSpot Cloud's Connections link to about 30 databases and services, including Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, SQL Server, PostgreSQL, Oracle, SAP HANA, Teradata, Trino and ClickHouse, and query them directly. New instances default to Spotter 3, which adds a Research mode and can query several data models in one request.

Side by side

Key differences

Spreadsheet workbook versus search and AI agents

Sigma starts from a familiar grid. A user picks a warehouse table or data model, adds columns with spreadsheet-style formulas, groups and pivots, and turns the result into charts and controls; Sigma translates each step into SQL for the warehouse. That suits people who would otherwise export to Excel, and in our view it is closest to self-service analysis for finance and operations teams.

ThoughtSpot starts from a question. Users type in plain language and Spotter answers from a governed Model; Spotter Classic translates questions into search tokens for ThoughtSpot's search engine, while Spotter Agent and Spotter 3 add suggested questions, explanations, a Research mode and cross-model search. Answers are pinned to Liveboards for sharing. The quality of answers depends on how well the Models are defined, so the work shifts to analysts who curate them. Note that ThoughtSpot documents that Spotter Agent can send data to the LLM when admins enable it, and Spotter 3 always can; review that with your data protection team.

Data connections and live queries

Both connect to the major cloud warehouses and query them live. Sigma keeps a connection open and sends SQL to the data platform; enabling write access on a connection is required for materialisation, CSV uploads, input tables and warehouse views. ThoughtSpot Connections treat the external database as a linked data source and query it directly, but fetch unique attribute values periodically (every 24 hours by default) to power search suggestions and Liveboard explore; ThoughtSpot notes that SpotIQ and Monitor are not available on Connections.

ThoughtSpot lists a broader set of sources, including Oracle, SAP HANA, Teradata, Trino, Presto, Dremio, Denodo and ClickHouse; Sigma's list centres on cloud warehouses and the main PostgreSQL, MySQL and SQL Server family databases. Because each click or search becomes warehouse SQL in both products, it is worth checking what they generate; for example, a Snowflake query history check like this one shows which BI user drove the most compute:

-- Snowflake SQL: queries and elapsed time by user over the last 7 days
SELECT user_name,
       COUNT(*) AS queries,
       ROUND(SUM(total_elapsed_time) / 1000 / 60, 1) AS elapsed_minutes
FROM snowflake.account_usage.query_history
WHERE start_time >= DATEADD(day, -7, CURRENT_TIMESTAMP())
GROUP BY user_name
ORDER BY elapsed_minutes DESC;

Write-back and data apps

Sigma lets users enter data, not just read it: input tables (and forms) save edits to the warehouse, which supports planning, forecasting adjustments, data corrections and approvals inside a workbook. Sigma's licence tiers reflect this, with an Act tier for people who input and update data. Write access must be granted on the connection, and the data lands in your warehouse, so plan schemas and permissions for it.

ThoughtSpot is focused on finding and explaining answers rather than capturing data. If your use case is mainly "ask, explore, monitor", that is not a gap; if it involves users editing numbers that flow back into models, Sigma's input tables are the more direct fit.

Licensing, pricing and embedding

Sigma licenses users in four tiers for organisations on the current model: View for report consumers, Act for data contributors who input and update data, Analyze for deeper analysis without building workbooks, and Build for data architects, BI analysts and report builders. Older organisations may still be on Lite, Essential and Pro tiers. Prices are not published.

ThoughtSpot publishes entry prices for Essentials and Pro, with user and row limits per plan, quotes Enterprise, and offers a usage-based credit model. For embedding, ThoughtSpot has a Developer plan free for one year (up to 10 users and 25M rows) and a quoted Embedded Enterprise plan; Sigma offers public and secure embedding with pricing through sales. For both, remember that warehouse compute is billed by your warehouse provider on top.

Pricing and licensing

Sigma Computing does not publish prices: on 7 November 2026 its pricing address showed a contact form and demo request. Cost depends on how many users need each licence tier (View, Act, Analyze, Build). Sigma Help describes a free 7-day trial with most core features, limits such as 20 user invitations and 50 exports, and no API keys or SCIM provisioning during the trial.

ThoughtSpot lists, on its pricing page (USD, billed annually): Essentials starting at USD 25 per user per month for 5 to 50 users and up to 25M rows; Pro starting at USD 50 per user per month for up to 1,000 users and 250M rows, with Spotter AI agents limited to 25 queries per user per month on the per-user option; Enterprise custom, with unlimited users and data. A usage-based option starts at USD 0.10 per credit. Embedded: Developer free for one year (up to 10 users, 25M rows), Embedded Enterprise custom. ThoughtSpot states it does not meter or charge for LLM tokens; third-party LLM provider fees may apply. Trial length is not stated on the pricing page.

Pricing checked on the vendors' official pages on 7 November 2026. Prices change; confirm before buying.

Where each one leads

Limitations

When to choose each

When neither is right

• You are on the Microsoft stack and want desktop authoring and Excel integration: see Power BI vs Tableau and Power BI vs Looker.
• You want an open source, self-hosted BI tool: see Metabase vs Apache Superset and the open source BI tools.
• You need a code-defined semantic layer with LookML: see Looker vs Metabase.
• You mostly need operational and metrics dashboards: see Metabase vs Grafana.

Final recommendation

Frequently asked questions

Sources

• Sigma Computing home page
• Sigma pricing (contact page)
• Sigma Help: start your Sigma trial
• Sigma Help: connect to data sources
• Sigma Help: account type and license overview
• ThoughtSpot pricing
• ThoughtSpot Cloud documentation: Connections
• ThoughtSpot Cloud documentation: Spotter versions

Checked November 2026.

How we research comparisons: our editorial method.