Snowflake Acquires Select Star to Strengthen Data Catalog Capabilities
Snowflake has announced a definitive agreement to acquire Select Star, a San Francisco-based startup specializing in context metadata platforms. This move aims to bolster Snowflake’s Horizon Catalog, a comprehensive suite for data discovery, management, and governance within its Data Cloud ecosystem.
Enhancing Data Discovery and Governance
Horizon Catalog serves as a unified platform that helps enterprises manage their data assets across multiple clouds and applications. As organizations increasingly rely on data-driven AI applications, having a well-documented, traceable, and clean data environment is essential. Snowflake’s integration of Select Star’s metadata platform will expand Horizon’s capabilities, providing richer context and more options for data access and governance.
Select Star’s platform already integrates with popular database systems such as PostgreSQL and MySQL, as well as business intelligence tools like Tableau and Power BI, and orchestration tools like dbt and Airflow. This strategic acquisition will enable Snowflake to offer enhanced features like automated discovery, column-level lineage, usage insights, and an improved user experience, reducing manual effort for data analysts.
Strategic Positioning in the AI and Data Market
This move underscores Snowflake’s ongoing efforts to outpace competitors such as Databricks in capturing AI-driven workloads. As metadata, lineage, and trust become critical for AI applications, Snowflake aims to develop a comprehensive, embedded metadata intelligence platform. Industry experts highlight that Snowflake’s aggressive acquisitions, including Crunchy Data earlier this year, reflect its strategy to become the leading AI-native data platform.
With the increasing importance of AI and data usability, Snowflake’s expansion of Horizon’s capabilities positions it to better serve enterprise needs for clean, well-documented data. The company’s focus on metadata and governance will be key in competing with hyperscalers like Google, AWS, and Microsoft in the rapidly evolving data analytics landscape.















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