Data catalogs & discovery · Secoda

Secoda

AI-assisted data catalog combining search, lineage and monitoring with a natural-language SQL assistant.

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Secoda catalogs tables, dashboards and metrics and layers an AI search and question-answering assistant on top, letting analysts ask plain-language questions about what data exists or what a metric means instead of browsing a glossary. It automatically builds lineage graphs, tags sensitive or PII columns, and adds lightweight data quality monitoring so freshness and volume issues surface in the same place as documentation. Documentation, glossary terms and API access round out the platform, and it integrates with dbt so existing docs and tests feed the catalog rather than being duplicated. Secoda is sold as three named cloud plans - Core, Premium and Enterprise - with pricing available only on request. It suits teams wanting an AI-first catalog with built-in monitoring rather than a governance-heavy workflow tool.

At a glance

Vendor Secoda
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for Teams wanting an AI-assistant-driven catalog with built-in monitoring.

Pricing

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.

Features

  • 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

Integrations

Profile last reviewed September 21, 2026

Alternatives

Select Star Automated data catalog that documents warehouse tables, dashboards and column-level lineage with minimal manual tagging. Atlan API-first, AI-assisted metadata catalog with automated lineage and Slack-style collaboration for data teams. data.world Cloud data catalog built on a knowledge-graph model with built-in SQL querying and a business glossary.

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Terms to know

Data catalog A searchable inventory of an organization's data assets, with descriptions, ownership and usage attached. Data lineage A traceable record of where data came from, how it was transformed, and where it is used downstream. Data quality The degree to which data is accurate, complete, consistent and fit for the purpose it is being used for.

Related guides

How to choose a data catalog Pick a data catalog by who has to document it, how lineage gets built, and whether your organization needs governed workflow or fast, automated discovery.