Coalesce Catalog alternatives

3 tools to consider instead of Coalesce Catalog, shown against it.

Coalesce Catalog Select Star Secoda Atlan
Vendor Coalesce (formerly Castor) Select Star Secoda Atlan
Pricing model Quote only Quote only Quote only Quote only
Free tier No No No No
Deployment Cloud Cloud Cloud Cloud, Self-hosted
Open source No No No No
Best for Teams already on or adopting Coalesce's transformation platform who want an integrated AI catalog. Mid-size data teams wanting fast, low-effort catalog setup with strong BI lineage. Teams wanting an AI-assistant-driven catalog with built-in monitoring. Modern data teams wanting an API-first, collaborative catalog tied into the cloud data stack.
Pricing

Custom quote; no public price list, demo required.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Custom quote; no public price list.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Three named plans (Core, Premium, Enterprise); no public prices, quote required.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Custom quote based on data sources and seats; no public price list.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features
  • AI-assisted natural-language search
  • Automated documentation
  • Column-level lineage
  • Business glossary
  • Data governance workflows
  • Usage analytics
  • PII detection
  • Slack integration
  • Automatic table and column documentation
  • Column-level lineage into BI dashboards
  • Popularity and usage analytics
  • Business glossary
  • PII tagging
  • Slack-based data request workflow
  • dbt docs sync
  • Data health scoring
  • AI search and Q&A over metadata
  • Automated lineage graphs
  • Data quality and freshness monitoring
  • Glossary and documentation
  • PII and sensitive data tagging
  • Slack/Teams integration
  • dbt integration
  • API access
  • Automated column-level lineage
  • AI-generated documentation and search
  • Business glossary and classification tags
  • Workflow and playbook automation
  • Slack/Teams-style collaboration on data assets
  • Open REST API and SDK
  • Data quality integration
  • Personalized discovery and recommendations

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