DataHub vs Marquez
DataHub
datahub.comMarquez
marquezproject.aiSide by side
| Figure | DataHub | Marquez |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 0 |
| Spec score · Active Metadata Management Software | 8.8 (#2) | 7.2 (#15) |
| Integrations | The project advertises more than 150 integrations, including Snowflake, BigQuery, dbt, Databricks, Looker, Tableau, Power BI, Airflow, Kafka, S3 and Iceberg. | The site names Apache Airflow, Apache Spark, Apache Flink, dbt, and Dagster as integrations supported through the OpenLineage community. |
| Purpose | DataHub describes its platform as a context platform that unifies technical metadata, business knowledge, and documentation for enterprise data and AI agents. | Marquez consumes, stores, and visualizes OpenLineage metadata for use cases including data governance, data quality monitoring, and performance analytics. |
| Support | Open-source users receive community Slack and self-service documentation, while Cloud customers receive dedicated customer success and private support channels. | The site directs users to its Slack channel for help and feedback and encourages newcomers to join monthly community meetings. |
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.