It’s time to migrate from ThoughtSpot to Sigma
Stuck with a search box that hands back an answer and stops there? Sigma turns the same natural-language questions into live, governed AI Apps that write decisions back to your warehouse.
Teams of every size are moving from ThoughtSpot to Sigma
Where your data goes to work
Most BI tools stop at the dashboard. Sigma keeps going, turning the same governed data into interactive apps and agents that act.
Semantic Portability
Protect existing investments. Sigma natively integrates with dbt, Snowflake Semantic Views, and Databricks Unity Catalog Semantics, so externally built metrics flow in without re-definition.
Sigma Agents
Turn insights into automated work. Sigma Agents read, write, and trigger external workflows while inheriting warehouse security, so every action stays auditable.
AI Applications
Move beyond read-only dashboards. Anyone can build interactive, no-code AI Apps that take action and write decisions directly back to your warehouse.
Secure Governance
AI security must be architectural. Sigma Agents and AI Apps automatically inherit your cloud data warehouse row-level and column-level security.
Enterprise SDLC
Get production-grade controls without the engineering overhead. Sigma isolates draft and live states using connection-aware deployment and version tagging.
AI Ecosystem
Sigma is your OS for live data and AI. Unify external agents via MCP with warehouse LLMs and Sigma Agents for natural-language discovery, without vendor lock-in.
Three steps from ThoughtSpot to Sigma
Point Sigma at your warehouse and it rebuilds your workbooks as live, governed analytics your team already knows how to use.
- 1
Connect your warehouse
Sigma queries Snowflake, Databricks, BigQuery, or Redshift live, so nothing gets extracted and no data leaves your warehouse.
- 2
Auto-convert your ThoughtSpot dashboards
Sigma’s migration tooling rebuilds your ThoughtSpot content as live workbooks, carrying over the calculations, layouts, and filters.
- 3
Explore and extend
Anyone who knows a spreadsheet can explore, write back, and build AI Apps on top, with row- and column-level security inherited from your warehouse.
Sigma is the enterprise leader in self-service analytics and business intelligence
As of June 30, 2026 · Trusted by 2,000+ leading enterprises around the world
Capability
ThoughtSpot
Row Limits
No row limits. Analyze billions of rows of live warehouse data without intermediate failures or capacity upgrades.
Search and Liveboard results are capped, and interactive speed at scale leans on the in-memory Falcon engine, which requires pre-loading and cluster sizing rather than querying billions of rows directly.
Required skills
Build complex logic using familiar spreadsheet functions, standard SQL, or Python on a single governed canvas.
Business users are confined to a rigid search paradigm; modeling depends on technical Worksheets and TML, and complex analysis pushes users into the technical Analyst Studio or back to the data team.
Live Data Sources
Live, zero-copy execution. Query billions of rows on your cloud data warehouse without extracting.
Interactive performance at scale often depends on loading data into the proprietary in-memory Falcon engine, reintroducing extracts and duplicate storage instead of live warehouse queries.
Architectural Complexity
One architecture: live query against the cloud data warehouse. Everything from ad-hoc analysis to Sigma Agents runs on this single governed foundation.
Teams juggle two engines, the in-memory Falcon store and live query (Embrace), each with different performance, freshness, and governance tradeoffs, plus a separate Worksheet modeling layer to maintain.
Write-back
Easily gather user inputs, enrich with AI, then trigger actions to build workflow applications on the cloud data warehouse.
No native warehouse write-back. Updating records or capturing inputs means egressing data to external SaaS apps, which severs lineage and breaks inherited warehouse governance.
Spreadsheet Interface
Familiar spreadsheet UI for accessible analysis and no-code AI App building, without added licenses or waiting on IT.
No true spreadsheet interface. Spreadsheet-style work is confined to the technical Analyst Studio, while everyone else is restricted to a search box, so operational analysis stalls without IT.
Python + SQL
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams build advanced Python logic all users can pivot and explore.
SQL and Python sit in separate notebook silos, disconnected from the search experience business users see, so technical and business work can’t happen on one canvas.
In-Product Support
Every user gets live, in-product chat support averaging a 23-second first response from a real human.
No live in-product chat support. Users file tickets or search community docs and wait.
ThoughtSpot
No row limits. Analyze billions of rows of live warehouse data without intermediate failures or capacity upgrades.
Search and Liveboard results are capped, and interactive speed at scale leans on the in-memory Falcon engine, which requires pre-loading and cluster sizing rather than querying billions of rows directly.
Build complex logic using familiar spreadsheet functions, standard SQL, or Python on a single governed canvas.
Business users are confined to a rigid search paradigm; modeling depends on technical Worksheets and TML, and complex analysis pushes users into the technical Analyst Studio or back to the data team.
Live, zero-copy execution. Query billions of rows on your cloud data warehouse without extracting.
Interactive performance at scale often depends on loading data into the proprietary in-memory Falcon engine, reintroducing extracts and duplicate storage instead of live warehouse queries.
One architecture: live query against the cloud data warehouse. Everything from ad-hoc analysis to Sigma Agents runs on this single governed foundation.
Teams juggle two engines, the in-memory Falcon store and live query (Embrace), each with different performance, freshness, and governance tradeoffs, plus a separate Worksheet modeling layer to maintain.
Easily gather user inputs, enrich with AI, then trigger actions to build workflow applications on the cloud data warehouse.
No native warehouse write-back. Updating records or capturing inputs means egressing data to external SaaS apps, which severs lineage and breaks inherited warehouse governance.
Familiar spreadsheet UI for accessible analysis and no-code AI App building, without added licenses or waiting on IT.
No true spreadsheet interface. Spreadsheet-style work is confined to the technical Analyst Studio, while everyone else is restricted to a search box, so operational analysis stalls without IT.
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams build advanced Python logic all users can pivot and explore.
SQL and Python sit in separate notebook silos, disconnected from the search experience business users see, so technical and business work can’t happen on one canvas.
Every user gets live, in-product chat support averaging a 23-second first response from a real human.
No live in-product chat support. Users file tickets or search community docs and wait.
Comparison based on publicly available product capabilities as of June 30, 2026.
“Sigma is a Game Changer — Ease of Use, Great Analytics Tool”
Darlina J.
Business Intelligence Manager, Enterprise
Verified review on G2Schedule a live 30-minute demo
See your own ThoughtSpot dashboards rebuilt as live, governed Sigma workbooks in a 30-minute walkthrough on your data.
