data.world Data Catalog vs OpenDataDiscovery Platform
data.world Data Catalog
data.worldOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | data.world Data Catalog | OpenDataDiscovery Platform |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Lineage Tools | 7.2 (#25) | 8.1 (#9) |
| Discovery | The product offers smart faceted search with semantic context and graph-driven navigation of relationships. | Users can search data and explore tags, ownership details, and links to related sources. |
| Integrations | Documented supported sources include Databricks, Amazon S3, BigQuery, Power BI, Tableau, Microsoft Fabric, dbt Core, dbt Cloud, and Fivetran. | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Purpose | The catalog helps enterprises activate metadata, enforce governance, and support collaboration across teams. | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. |
| Support | The security page says staff are on call 24/7 for incident management and members may get support through help.data.world. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
In their own words
data.world Data Catalog
data.world Data Catalog has no write-up on Specifiction yet; its figures are above.
OpenDataDiscovery Platform
OpenDataDiscovery Platform is an open-source catalog for finding and governing data products across data teams. Search and facet filters help users locate metadata by source, owner, or tag, then explore ownership and related links. The platform traces data objects and microservices end to end, imports data quality test results, and shows dataset quality status. It also catalogs machine-learning experiment metadata and lineage and supports experiment logging, connecting data science and data engineering work. Teams can access collected metadata through a web interface or REST API, and deploy with Docker Compose, Kubernetes and Helm charts, or AWS Marketplace QuickLaunch. The catalog uses an open metadata collection standard to connect catalogs, tools, and feature stores; Lookup Tables support reference data governance. ODD supports LDAP authentication and USER and ADMIN roles. Its documentation cautions against simple login-form authentication in production. Metadata attachments are limited to 20 MB, while links can point to larger or remotely stored files. The platform is free and open source, with public development.