Description
Catalog is a data governance and cataloging platform, previously known as CastorDoc, that became part of Coalesce and was rebranded under the Catalog name. Its pitch is self-service analytics without losing control over your data: business users get a way to find and understand company data on their own, while governance and data teams keep oversight of quality, security, and compliance.
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The product covers data governance features, a searchable data catalog and business glossary, automated documentation, end-to-end data lineage, and security and compliance controls, alongside an AI assistant layer. The AI assistant includes natural-language search so users can find data sets and metrics in plain language, a data customer support layer that answers data questions directly, and a SQL assistant that converts natural language into SQL to speed up query writing and reduce errors. The company also markets instant data trust assessments that score reliability and usage frequency so teams can judge which data sets to rely on.
Catalog is built for three groups: data teams looking to cut bottlenecks in their stack, governance teams building data that the rest of the company can trust, and business teams who want data access with company-specific context attached. It is designed to connect into an existing data stack, and the company publishes integration and comparison pages against tools like Alation, Atlan, and Select Star. Use cases the company lists include finding and understanding data, automating documentation, meeting governance and compliance requirements, cutting data infrastructure costs, curating collective team knowledge about data sets, and improving adoption of data tools across non-technical staff.
Case studies on the site cite results including one team cutting data-discovery time from 45 minutes to seconds, a 20 percent productivity increase reported by one customer, and a 90 percent drop in data-related questions sent to the data team from another. Pricing is not published; the company offers a demo and a free trial on request rather than listed plans.
- CategoryBusiness Intelligence
- Pricing ModelContact for details
- DeploymentCloud
- PlatformsSnowflake, Databricks, BigQuery, Fabric
Catalog's Core Features
Searchable data catalog with an auto-generated business glossary
End-to-end data lineage tracking
Natural-language search across data sets and metrics
AI SQL assistant that converts plain language into SQL queries
AI-driven data trust and quality assessments
Security and compliance controls for sensitive data
Data customer support layer that answers data questions directly
Integrations across common data stack tools
How to use Catalog?
Connect your data stack: Link Catalog to your warehouse and existing tools
Build the catalog: Let Catalog document data sets and generate the business glossary
Search in plain language: Ask questions to find the right data set or metric
Check trust scores: Review AI-driven reliability and usage assessments before relying on a data set
Query with the SQL assistant: Convert a plain-language question into SQL
Govern access: Apply security and compliance controls as more teams self-serve
Catalog's Use Cases
- Self-service data discovery
- Data documentation
- SQL query generation
- Governance and compliance
