Sigma Computing

AI runtime for business: chat with live cloud data and deploy AI agents on a spreadsheet-like interface.

Visit Website ↗ by Sigma Computing, Inc.

What is Sigma Computing?

Sigma is a cloud-native analytics platform that runs queries directly against data warehouses like Snowflake, BigQuery, and Redshift without moving data. Its 2026 positioning is 'the AI runtime for business': users chat with data and agents to get instant insights, build dashboards and reports with AI, and deploy AI agents that automate workflows and trigger actions in external systems. A spreadsheet-like interface makes it accessible to non-technical users.

Key features

  • Chat with data and AI agents on live cloud data
  • AI-assisted dashboard, report, and app building
  • Deployable AI agents that automate workflows and trigger actions
  • Queries run directly in the warehouse — no data movement
  • Spreadsheet-like interface with formulas and functions
  • Collaborative workspaces with real-time editing
  • SOC 2 Type II, HIPAA, GDPR, SSO & SCIM security
  • Integrations: Snowflake, BigQuery, Redshift, Slack, Google Sheets

Pros

  • No data movement — queries run live in your cloud warehouse
  • Spreadsheet-style interface lowers the barrier for business users
  • AI agents can take actions in external systems, not just answer questions
  • Enterprise-grade security and governance inherited from the warehouse

Cons

  • Entry pricing (~$300/mo) is steep for small teams
  • Advanced analytics depth is more limited than heavier BI platforms
  • No native mobile app; dashboards not responsive on small screens

Sigma Computing at a glance

PricingPaid
CategoryBusiness & Data
Platformsweb, api
CompanySigma Computing, Inc.
Official websitewww.sigmacomputing.com
biconversational-biai-agentsspreadsheetsnowflakedashboardsgovernance

How to choose the right Business & Data tool

With business and data tools, accuracy beats cleverness. Check which data sources and apps the tool connects to out of the box, how fresh the data is, and whether numbers can be traced back to their source — an AI summary you cannot verify is a liability in a meeting. Visualisation should match your audience: executives need clean dashboards, analysts need the ability to drill down. Security and permissions matter as soon as real company data is involved, so look for role-based access and a clear data-retention policy. Finally, test with your messiest real dataset, not the demo: tools that shine on clean sample data often stumble on the spreadsheets businesses actually keep.

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Sigma Computing FAQs

What is Sigma Computing?

Sigma is a cloud-native analytics platform that runs queries directly against data warehouses like Snowflake, BigQuery, and Redshift without moving data. Its 2026 positioning is 'the AI runtime for business': users chat with data and agents to get instant insights, build dashboards and reports with AI, and deploy AI agents that automate workflows and trigger actions in external systems. A spreadsheet-like interface makes it accessible to non-technical users.

What are the main features of Sigma Computing?

Sigma Computing offers Chat with data and AI agents on live cloud data, AI-assisted dashboard, report, and app building, Deployable AI agents that automate workflows and trigger actions, Queries run directly in the warehouse — no data movement, Spreadsheet-like interface with formulas and functions, Collaborative workspaces with real-time editing, SOC 2 Type II, HIPAA, GDPR, SSO & SCIM security and Integrations: Snowflake, BigQuery, Redshift, Slack, Google Sheets.

How much does Sigma Computing cost?

Sigma Computing is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.

What are the pros and cons of Sigma Computing?

Strengths of Sigma Computing include No data movement — queries run live in your cloud warehouse; Spreadsheet-style interface lowers the barrier for business users; AI agents can take actions in external systems, not just answer questions. On the downside, Entry pricing (~$300/mo) is steep for small teams; Advanced analytics depth is more limited than heavier BI platforms; No native mobile app; dashboards not responsive on small screens.