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Data modeling, tenant isolation, performance architecture, and licensing determine whether embedded analytics scales or requires expensive rework, and all four decisions happen before implementation starts.

Build complete data models—including metrics, relationships, columns, and descriptions—from your terminal with the new Sigma plugin for Claude Code.

Learn how Sigma's bidirectional Javascript events use the postMessage API to connect embedded analytics and your host application in real time, making analytics feel native to your product.

Automate recurring analytics and AI workflows in Sigma. Use Automated Actions to run reports, refresh data, call APIs, and trigger agents on a reliable cadence.

Static embedded analytics dashboards made sense when analytics was a reporting function. Here's how to recognize when your users need more and what the path forward looks like.

Build a Sigma Agent to create and manage data models automatically. See how it works with schema discovery, model creation, and Snowflake semantic views.

Sigma's workbooks, data models, and business logic are now accessible inside Snowflake Cortex Code — so data engineers can build, manage, and validate their full Sigma layer without ever leaving the Snowflake environment.

Learn more about Sigma’s perspective on agentic analytics and how Gartner views the market. Get complimentary access to the full report.

Learn how Sigma and Atlan close the context gap for enterprise AI with certified definitions, lineage, and governance that AI agents can reason over.