Select Star
Select Star automatically maps data lineage and usage across the entire data stack, enabling data teams to quickly find trusted data and understand its relationships without manual cataloging effort.
Last updated Jun 23, 2026 by ATDb automated enrichment
At a glance
About
A recognized innovator in automated data discovery and lineage, acquired by Snowflake to bolster its native Horizon Catalog capabilities.
Select Star is an automated data discovery and intelligence platform that enables organizations to understand, explore, and govern their data assets. The platform automatically maps data lineage, tracks usage patterns, and surfaces relationships across an organization's entire data stack — connecting data warehouses, BI tools, ETL pipelines, and other data infrastructure into a unified, searchable catalog. By providing contextual intelligence around data assets, Select Star helps data teams quickly find trusted data, understand its origins, and assess its downstream impact. Founded to address the growing complexity of modern data environments, Select Star built a reputation for deep integrations with leading data platforms including Snowflake, BigQuery, dbt, Looker, Tableau, and others. Its automated approach to metadata collection and lineage tracking reduced the manual overhead traditionally associated with data cataloging, making it accessible to data teams of varying sizes. The platform's emphasis on column-level lineage and usage-based trust signals distinguished it from more manual catalog solutions. Snowflake announced its acquisition of Select Star to enhance its Horizon Catalog offering, integrating Select Star's data discovery and lineage capabilities directly into the Snowflake Data Cloud. The acquisition reflects Snowflake's broader strategy to provide richer data governance and context natively within its platform. Select Star's technology and team are being folded into Snowflake's ecosystem, strengthening Snowflake's ability to deliver end-to-end data intelligence to its customers.
Business model
SaaS
Target market
Mid-Market, Enterprise
What they offer
Automated Data Catalog
Automatically discovers and catalogs data assets across warehouses, BI tools, and pipelines without manual tagging.
Column-Level Data Lineage
Tracks data lineage at the column level, showing exactly how data flows and transforms across the stack.
Usage Analytics
Surfaces query and dashboard usage patterns to identify trusted, frequently used data assets and deprecate stale ones.
Data Search & Discovery
Provides a unified search interface for finding data assets enriched with context, lineage, and usage metadata.
Impact Analysis
Enables teams to assess downstream impact before making changes to upstream data sources or transformations.
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2019 · Founded
- Still operating as part of Snowflake