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 and Snowflake Semantic Views, 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. Empower everyone to 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
Power BI
Row Limits
No row limits. Analyze billions of rows of live warehouse data without intermediate failures or capacity upgrades.
Hard 1-million-row limit on intermediate results. Any query exceeding 1M rows fails entirely unless you pay for Premium Capacity.
Required skills
Build complex logic using familiar spreadsheet functions, standard SQL, or Python on a single governed canvas.
Users must learn M for data prep, DAX for modeling, and master Power Query folding just to keep dashboards from breaking at scale.
Live Data Sources
Live, zero-copy execution. Query billions of rows on your cloud data warehouse without extracting.
DirectQuery struggles with large datasets and complex DAX. Users must choose between 7 complex deployment models based on scale and latency.
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.
Highly fragmented. IT must triage Import, DirectQuery, Composite Models, or Aggregations, each with distinct limits, security gaps, and performance penalties.
Write Back
Easily gather user inputs, enrich with AI, then trigger actions to build workflow applications on the cloud data warehouse.
No native write-back. Power Apps and Power Automate must be leveraged, and even those are limited by refresh restrictions and API throttling.
Spreadsheet Interface
Familiar spreadsheet UI for accessible analysis and no-code AI App building, without added licenses or waiting on IT.
Does not offer a traditional spreadsheet interface; focuses on interactive visualizations and dashboards.
Python + SQL
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams build advanced Python logic all users can pivot and explore.
Can create custom visuals with Python, but a notebook-like experience is not supported.
In-Product Support
Every user gets live, in-product chat support averaging a 23-second first response from a real human.
No in-product support.
Power BI
No row limits. Analyze billions of rows of live warehouse data without intermediate failures or capacity upgrades.
Hard 1-million-row limit on intermediate results. Any query exceeding 1M rows fails entirely unless you pay for Premium Capacity.
Build complex logic using familiar spreadsheet functions, standard SQL, or Python on a single governed canvas.
Users must learn M for data prep, DAX for modeling, and master Power Query folding just to keep dashboards from breaking at scale.
Live, zero-copy execution. Query billions of rows on your cloud data warehouse without extracting.
DirectQuery struggles with large datasets and complex DAX. Users must choose between 7 complex deployment models based on scale and latency.
One architecture: live query against the cloud data warehouse. Everything from ad-hoc analysis to Sigma Agents runs on this single governed foundation.
Highly fragmented. IT must triage Import, DirectQuery, Composite Models, or Aggregations, each with distinct limits, security gaps, and performance penalties.
Easily gather user inputs, enrich with AI, then trigger actions to build workflow applications on the cloud data warehouse.
No native write-back. Power Apps and Power Automate must be leveraged, and even those are limited by refresh restrictions and API throttling.
Familiar spreadsheet UI for accessible analysis and no-code AI App building, without added licenses or waiting on IT.
Does not offer a traditional spreadsheet interface; focuses on interactive visualizations and dashboards.
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams build advanced Python logic all users can pivot and explore.
Can create custom visuals with Python, but a notebook-like experience is not supported.
Every user gets live, in-product chat support averaging a 23-second first response from a real human.
No in-product support.
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.
