data.world Data Catalog
data.world Data Catalog: A catalog-led platform for connecting data assets, lineage, governance, and discovery. Ranked #13 of 41 in Data Lineage Tools by our editors (8.0/10); pricing: Pricing on request; best for catalog-led lineage and discovery.
At a glance
- Editor score8.0 / 10
- PricingPricing on request
- Best forCatalog-led lineage and discovery
- Column-level lineageYes
- Founded2016
- Facts checked21 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.
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data.world Data Catalog pricing
data.world Data Catalog fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Automated discovery | Yes |
| Column-level lineage | Yes |
| Impact analysis | Yes |
| Pipeline lineage | Yes |
| Report lineage | Yes |
| Deployment | Cloud |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, HIPAA, SSO/SAML |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Apache Airflow, BigQuery, Databricks, dbt Core, dbt Cloud, Fivetran … See all → |
| Pricing | Pricing on request (source) |
| Website | data.world |
| Facts checked | 21 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 →
Alternatives to data.world Data Catalog
- Alation Data LineageA broad lineage system for tracing data from source systems through BI outputs.9.2
- Informatica Cloud Data Governance and CatalogA broad governance and lineage service for complex cloud, on-premises and hybrid data estates.9.1
- Talend Data CatalogA broad catalog and lineage product for complex enterprise data architectures.9.0
See all data.world Data Catalog alternatives →
Also Ranked In
data.world Data Catalog is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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