DataHub vs OpenDataDiscovery Platform
DataHub
datahub.comOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | DataHub | OpenDataDiscovery Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Active Metadata Management Software | 8.8 (#2) | 8.1 (#7) |
| Discovery | The platform provides natural-language search, column-level lineage and profiling for schemas, statistics, ownership and usage. | Users can search data and explore tags, ownership details, and links to related sources. |
| Integrations | The project advertises more than 150 integrations, including Snowflake, BigQuery, dbt, Databricks, Looker, Tableau, Power BI, Airflow, Kafka, S3 and Iceberg. | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Lineage | DataHub describes cross-platform, column-level lineage that traces data from source through transformations and AI models to downstream assets. | The platform provides automatic company-wide ingestion-to-product lineage to help identify issues and affected stakeholders. |
| Purpose | DataHub describes its platform as a context platform that unifies technical metadata, business knowledge, and documentation for enterprise data and AI agents. | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. |
| Security | DataHub Cloud states 99.5% uptime, fine-grained access controls, AWS PrivateLink, IP restrictions, in-VPC remote execution and SOC 2 compliance. | ODD supports authentication through LDAP, and its documentation warns against using its simple login-form authentication in production. |
| Support | Open-source users receive community Slack and self-service documentation, while Cloud customers receive dedicated customer success and private support channels. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
In their own words
DataHub
DataHub brings technical metadata, business knowledge, and documentation together for enterprise data and AI agents. It is available as self-hosted Core or as managed DataHub Cloud. Cloud provides natural-language search, an Ask DataHub chat agent, smart ranking, and a hosted MCP server that connects AI tools to its catalog. Its observability tools run automated schema, freshness, volume, and custom quality checks, with AI anomaly detection and incident workflows. Cross-platform, column-level lineage traces data from sources through transformations and AI models to downstream assets. DataHub Cloud has more than 100 pre-built connectors and names Slack, Microsoft Teams, Chrome, and BI tools among its native integrations. Cloud is described as SOC 2 compliant, with role- and attribute-based access controls and an in-VPC execution option for sensitive sources. Cloud availability is described as SLA-backed at 99.5%. DataHub Core is free to deploy, but requires users to handle installation, configuration, upgrades, uptime, and troubleshooting. Cloud pricing depends on data volume, users, and selected capabilities. A Google Cloud offer advertises a 21-day Cloud trial with a dedicated instance and full platform access.
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.