CastorDoc
AI-powered data catalog with automated documentation, lineage, and natural language search.
Acquired — still operating
acquired by Coalesce; continues as Coalesce Catalog
About
CastorDoc is a data catalog designed for company-wide adoption, connecting to the data stack to gather metadata and documentation automatically. It offers column-level lineage, popularity-based search, and sync-backs that push documentation into dbt, Snowflake, BigQuery, Tableau, and Looker.
CastorDoc AI adds a query explainer that translates SQL into natural language, AI-generated descriptions for columns, tables, and dashboards, and natural language search over the catalog. The company was acquired by Coalesce, where the product continues as Coalesce Catalog.
What it can do
- Automated metadata collection and documentation across the stack
- CastorDoc AI: query explainer, AI column descriptions, NL search
- Column-level, cross-system lineage with popularity signals
- Documentation sync-backs to dbt, Snowflake, BigQuery, and BI tools
Setup
Book a demo or start a trial on castordoc.com; connect data warehouses, transformation, and BI tools with roughly 30-minute setup.
Prerequisites
A modern data stack (warehouse, dbt or similar, BI tool) to catalog; stakeholders who need governed data discovery.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 111; Trending score 70/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.