Why teams choose Sigma vs Looker
Semantic Portability
Protect existing investments. Sigma natively integrates with dbt and Snowflake Semantic Views, allowing externally built metrics to flow directly into Sigma without re-definition.
Sigma Agents
Turn insights into automated work. Sigma Agents read, write, and trigger external workflows while inheriting warehouse security, ensuring every action is fully auditable.
AI Applications
Move beyond read-only dashboards. Empower all users to build interactive AI Apps so that they can take action and safely write decisions directly back to your cloud data warehouse.
Secure Governance
AI security must be architectural. Sigma Agents and AI Apps automatically inherit your cloud data warehouse Row-Level Security (RLS) and Column-Level Security (CLS).
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. Securely unify external agents via MCP with warehouse LLMs and Sigma Agents for natural language discovery and action without vendor lock-in.
AI, Apps, and Agents with all the BI that you expect.
We excel in the cloud
Analyze billions of rows of live warehouse data using spreadsheet formulas you already know. No stale extracts, row limits, or proprietary coding languages. Ask Sigma Assistant if you have a question.
Dashboards built the way you’ve always wanted
Use Sigma Assistant to help you build dynamic, interactive dashboards without writing SQL or waiting on data engineering. Drill down to the underlying row level instantly on live, governed data.
Write directly back to your warehouse
If you know how to use a spreadsheet, you can safely capture data, run live scenarios, and trigger downstream workflows. Deploy Sigma Agents to fully automate those actions with a complete audit trail.
Scale with unmatched performance
Securely embed live analytics and writeback capabilities into your customer portals. Automatically inherit warehouse security for strict multi-tenant data isolation without duplicate permission models.
Sigma is the enterprise leader in self-service analytics and operational workflows.
FEATURE COMPARISON
As of March 26, 2026
Sigma
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 and requires manual adjustments. Even basic metric creation or formula changes require data engineers trained in LookML syntax.
Warehouse Integration
Leverages your cloud data warehouse’s native caching. Performance accelerates automatically without ever extracting data, duplicating logic, or breaking inherited security policies.
Relies on proprietary caching layers to mask performance issues, moving data outside the warehouse and complicating enterprise security governance.
Real-Time Collaboration
Cloud-native architecture enables real-time, synchronous collaboration. Multiple users can build, edit, and explore the same live workbook simultaneously without locking files or overwriting work.
Lacks true multiplayer co-editing. Development is siloed behind rigid Git commits and Developer Mode branches, creating version conflicts and slowing down team analysis.
Writeback
Safely write governed decisions back to the warehouse and instantly trigger enterprise workflows from one environment.
Fundamentally a read-only reporting tool. Capturing user inputs or triggering actions requires exporting data or buying expensive, disconnected third-party workflow extensions.
AI Applications
Move beyond read-only dashboards. 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 to take action.
Python + SQL
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams can build advanced Python logic that all users can easily pivot and explore.
SQL requires LookML. No native Python support so teams must execute more sophisticated data science in disconnected notebooks, breaking governance and isolating data.
Drilldowns & Pivots
Empower users to instantly drill down to the underlying row level or pivot massive datasets on the fly, directly against live warehouse data.
Severely restricts data discovery. Every customized drill path and pivot must be painstakingly predefined in LookML by an engineer before a user can explore it.
Lineage & Governance
Visual lineage traces data origin and transformations at data-element level.
IT must rebuild and maintain a duplicate semantic security model within LookML, creating dangerous gaps between warehouse permissions and access policies.
Customer Support
All users have access to live, in-product chat support averaging a 23-second initial response time from a real human, ensuring zero lost momentum.
Available for admins only.
Sigma
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 and requires manual adjustments. Even basic metric creation or formula changes require data engineers trained in LookML syntax.
Warehouse Integration
Leverages your cloud data warehouse’s native caching. Performance accelerates automatically without ever extracting data, duplicating logic, or breaking inherited security policies.
Relies on proprietary caching layers to mask performance issues, moving data outside the warehouse and complicating enterprise security governance.
Real-Time Collaboration
Cloud-native architecture enables real-time, synchronous collaboration. Multiple users can build, edit, and explore the same live workbook simultaneously without locking files or overwriting work.
Lacks true multiplayer co-editing. Development is siloed behind rigid Git commits and Developer Mode branches, creating version conflicts and slowing down team analysis.
Writeback
Safely write governed decisions back to the warehouse and instantly trigger enterprise workflows from one environment.
Fundamentally a read-only reporting tool. Capturing user inputs or triggering actions requires exporting data or buying expensive, disconnected third-party workflow extensions.
AI Applications
Move beyond read-only dashboards. 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 to take action.
Python + SQL
Combine SQL, Python, and spreadsheet formulas in one secure canvas. Technical teams can build advanced Python logic that all users can easily pivot and explore.
SQL requires LookML. No native Python support so teams must execute more sophisticated data science in disconnected notebooks, breaking governance and isolating data.
Drilldowns & Pivots
Empower users to instantly drill down to the underlying row level or pivot massive datasets on the fly, directly against live warehouse data.
Severely restricts data discovery. Every customized drill path and pivot must be painstakingly predefined in LookML by an engineer before a user can explore it.
Lineage & Governance
Visual lineage traces data origin and transformations at data-element level.
IT must rebuild and maintain a duplicate semantic security model within LookML, creating dangerous gaps between warehouse permissions and access policies.
Customer Support
All users have access to live, in-product chat support averaging a 23-second initial response time from a real human, ensuring zero lost momentum.
Available for admins only.
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“Great Visualization and Reporting Tool, HUGE usability improvement over Tableau.”
Director of Data and Analytics
500M - 1B USD Company, Banking Industry
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Additional resources
10 Best Alternatives to Looker in 2025
Looking for a Looker alternative? Explore the top BI tools that offer better customization, pricing, ease of use, and performance to fit your business needs.
Why Druva left Looker — then tripled internal adoption using Sigma
Druva left Looker behind for faster performance with Sigma.
Why Looker Leaves Teams Lagging and How Sigma Empowers Ad Hoc Data Exploration
Explore how Sigma enables teams to easily harness the full power and potential of their data, without any data ever leaving the warehouse.
Activate your data warehouse
Stop buying a new tool for every workflow. Build it once on governed data, then scale it across the business.