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data.world Data Catalog

#13 of 41 in Data Lineage ToolsData Version Control Tools

Cloud-native data catalog for discovery, governance, and lineage

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data.world Data Catalog— Visit data.world

At a glance

  • Editor score
    Not yet scored
  • Pricing
    Pricing on request
  • Best for
    Catalog-led lineage and discovery
  • Column-level lineage
    Yes
  • Founded
    2016
  • Facts checked
    21 Sep 2026
  • Where it wins

    • Knowledge graph connects assets, people, terms, systems, and lineage
    • Table-, column-, query-, pipeline-, and report-level lineage
    • Broad integrations plus AI-assisted catalog discovery
  • Where it doesn't

    • Enterprise pricing requires contact with sales
    • Cloud catalog deployment may not suit cloud-avoidant teams
    • Its broad catalog scope may exceed focused lineage needs

Our verdict on data.world Data Catalog

data.world Data Catalog is a cloud-native catalog for enterprise data teams that need to discover, understand, govern, and collaborate around data. It connects data assets, people, business terms, systems, and lineage relationships through a knowledge-graph architecture. Data engineers, analysts, stewards, and governance leaders can use catalog search, governance workflows, lineage exploration, impact analysis, and AI-assisted discovery through Archie Chat. The platform is available through web and API access.

Pricing is handled through enterprise sales, according to the official pricing page. The published product scope includes metadata collection from databases, reporting tools, ETL/ELT systems, pipelines, and other data systems, along with automated metadata enrichment and governance automations. Integration coverage includes Apache Airflow, BigQuery, Databricks, dbt Core, dbt Cloud, Fivetran, Microsoft Power BI, PostgreSQL, Snowflake, and Tableau. SQL and SPARQL querying add options for working directly with catalog metadata, while reporting and dashboard metadata collection extends discovery beyond tables and databases.

Lineage is the platform’s clearest strength: it covers tables, columns, queries, transformations, data pipelines, reports, and dashboards, with upstream and downstream impact analysis. That makes it suited to organizations that want lineage embedded in a wider catalog and governance program rather than a narrowly focused lineage map. AI-assisted discovery adds another route to catalog exploration. Teams seeking a connected catalog with broad platform coverage should consider it; organizations that want a standalone, narrowly scoped lineage tool or a non-cloud catalog may prefer a different fit.

data.world Data Catalog pricing

Plans Pricing on request No free plan — trial or paid only. Prices re-checked Sep 2026.
See plans on data.world

data.world Data Catalog fact sheet

Free planNot verified
Paid fromNot verified
Automated discoveryYes
Column-level lineageYes
Impact analysisYes
Pipeline lineageYes
Report lineageYes
DeploymentCloud
DeploymentCloud
PlatformsWeb
Compliance & securitySOC 2, HIPAA, SSO/SAML
SupportDocs
Built forMid-market, Enterprise (editorial estimate)
Integrations10 integrations: Apache Airflow, BigQuery, Databricks, dbt Core, dbt Cloud, Fivetran … See all →
PricingPricing on request (source)
Websitedata.world
Facts checked21 Sep 2026

data.world Data Catalog integrations

data.world Data Catalog lists 10 integrations on its own site.

  • Apache Airflow
  • BigQuery
  • Databricks
  • dbt Core
  • dbt Cloud
  • Fivetran
  • Microsoft Power BI
  • PostgreSQL
  • Snowflake
  • Tableau

See all data.world Data Catalog integrations →

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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