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ML Operations

Sigma

Cloud analytics and app-building platform that runs on data warehouses

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About Sigma

Sigma provides a spreadsheet-style analytics and application platform that queries data directly in cloud data warehouses such as Snowflake and Databricks. It includes AI features, agents and embedded analytics, with governance following the warehouse permissions.

Common use cases

  • Self-service analytics
  • Data apps on warehouse data
  • Embedded customer analytics
  • AI-assisted analysis

Social listening

What people are saying about Sigma

Reviewers value Sigma's spreadsheet-style interface on top of cloud warehouses, and buyers typically plan for onboarding, permissions setup and performance on large data.

What stands out

  • Connects directly to cloud warehouses such as Snowflake and Databricks.
  • The spreadsheet-like interface is familiar to Excel and Sheets users and lets non-SQL users analyze large data.
  • Dashboards are flexible to build, and reviewers mention responsive support.
  • Viewer access is reported as free, including for external users.

Things to consider

  • Non-technical users typically plan for onboarding time.
  • Worth planning permissions, roles and team management setup early.
  • Worth testing dashboard load times on large datasets and confirming chart and pivot features you need.

Often compared with: Tableau, Looker, Power BI

Sources (3)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Analytics and BI

Dashboards and exploration on live warehouse data.

Applications and Agents

Apps and agents that read from and write back to the warehouse.

Embedded Analytics

White-label analytics and AI apps for products.

Pixel-perfect reports

Formatted reports on live data.

Key features

  • Warehouse-native queries
  • Spreadsheet interface
  • Python and SQL
  • Embedded analytics
  • AI agents
  • Governed access

Integrations

  • Snowflake
  • Databricks
  • ClickHouse
  • AWS
  • Microsoft Azure
  • Google Cloud

Sigma alternatives

FAQs

Where does data stay?

Queries run on the customer's cloud data warehouse.

Is it an ML platform?

It is primarily an analytics and app platform; the ML Development listing reflects its AI and app features.

Which warehouses are supported?

Snowflake, Databricks, ClickHouse and cloud platforms listed by the vendor.

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