It’s time to migrate from Looker to Sigma
Waiting on an engineer to touch LookML every time a metric changes? Sigma rebuilds your Looker content as live, governed analytics that anyone who knows a spreadsheet can explore, no LookML required.
Teams of every size are moving from Looker 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 Looker 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 Looker dashboards
Sigma’s migration tooling rebuilds your Looker 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
Looker
Spreadsheet Interface
Familiar spreadsheet UI for accessible analysis and no-code AI App building, without added licenses or waiting on IT.
No spreadsheet view; forces users into rigid, read-only dashboards. Any spreadsheet-style exploration requires an engineer to write proprietary LookML.
Required skills
Combine familiar spreadsheet formulas, SQL, and Python on a single governed canvas. Everyone from non-technical users to data engineers can build immediately.
Must know LookML to write formulas. Even basic metric creation or formula changes require data engineers trained in LookML syntax.
Warehouse Integration
Leverages your warehouse’s native caching. Performance accelerates automatically without extracting data or breaking inherited security.
Relies on proprietary caching layers to mask performance issues, moving data outside the warehouse and complicating enterprise security governance.
Real-time Collaboration
Cloud-native, synchronous editing. Multiple users build and explore the same live workbook at once, with no file locking.
Lacks true multiplayer co-editing. Development is siloed behind rigid Git commits and Developer Mode branches, creating version conflicts.
Writeback
Safely write governed decisions back to the warehouse and instantly trigger enterprise workflows from one environment.
Fundamentally a read-only reporting tool. Capturing inputs or triggering actions requires exporting data or buying disconnected third-party extensions.
AI Applications
Empower all teams to build interactive, no-code AI Apps, safely writing decisions and actions to your cloud data warehouse.
Stops at dead-end reporting. Cannot build applications or workflows, forcing teams to rely on separate engineering-heavy platforms.
Python + SQL
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams build advanced Python logic that all users can pivot and explore.
SQL requires LookML. No native Python support, so teams execute data science in disconnected notebooks, breaking governance.
In-Product Support
Every user gets live, in-product chat support averaging a 23-second first response from a real human.
Available for admins only.
Looker
Familiar spreadsheet UI for accessible analysis and no-code AI App building, without added licenses or waiting on IT.
No spreadsheet view; forces users into rigid, read-only dashboards. Any spreadsheet-style exploration requires an engineer to write proprietary LookML.
Combine familiar spreadsheet formulas, SQL, and Python on a single governed canvas. Everyone from non-technical users to data engineers can build immediately.
Must know LookML to write formulas. Even basic metric creation or formula changes require data engineers trained in LookML syntax.
Leverages your warehouse’s native caching. Performance accelerates automatically without extracting data or breaking inherited security.
Relies on proprietary caching layers to mask performance issues, moving data outside the warehouse and complicating enterprise security governance.
Cloud-native, synchronous editing. Multiple users build and explore the same live workbook at once, with no file locking.
Lacks true multiplayer co-editing. Development is siloed behind rigid Git commits and Developer Mode branches, creating version conflicts.
Safely write governed decisions back to the warehouse and instantly trigger enterprise workflows from one environment.
Fundamentally a read-only reporting tool. Capturing inputs or triggering actions requires exporting data or buying disconnected third-party extensions.
Empower all teams to build interactive, no-code AI Apps, safely writing decisions and actions to your cloud data warehouse.
Stops at dead-end reporting. Cannot build applications or workflows, forcing teams to rely on separate engineering-heavy platforms.
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams build advanced Python logic that all users can pivot and explore.
SQL requires LookML. No native Python support, so teams execute data science in disconnected notebooks, breaking governance.
Every user gets live, in-product chat support averaging a 23-second first response from a real human.
Available for admins only.
Comparison based on publicly available product capabilities as of June 30, 2026.
“The best and possibly last BI tool you will ever need”
Director of Data and Analytics
500M–1B USD Company, Banking Industry
Verified review on G2Schedule a live 30-minute demo
See your own Looker dashboards rebuilt as live, governed Sigma workbooks in a 30-minute walkthrough on your data.
