Automated Data Catalog for BigQuery

Develop a single source of truth across your data stack so you can confidently develop and deploy AI solutions. Get end-to-end context of each data asset across platforms, down to the column-level, and more to enable your AI systems to deliver precise insights and recommendations.

With Select Star's lineage, you can automatically keep track of the data models, dashboards, and their provenance all the way to source systems like BigQuery.

Discover what tables and columns to join for a query. Select Star infers ERDs from SQL queries & joins, in addition to existing primary and foreign keys from the database.

Select Star keeps your data catalog up-to-date. It automatically enriches it with the context of what it's about, where it came from, and who's using it in the organization.

Capture and standardize key terms like “Customer Churn Rate” or “ARR” complete with rich text definitions, lineage context, and parent-child relationships. Empower all users to view and reference the glossary directly in the Docs tab, building a shared vocabulary that’s always fresh and discoverable.

Less than 15% of your data is being used - do you know which ones? Get a bird's-eye view on where the data is being utilized vs. not, and who the main consumers are.

Give Snowflake Cortex Analyst and other AI tools the context they need to deliver accurate, reliable answers.

Integrate agents and LLMs with your enterprise metadata through a single API. Select Star’s MCP for Data provides access to metadata, lineage, and semantic models, enabling LLMs to search, reason, and act with full context.