Marquez
Marquez: A self-hosted lineage metadata service for pipeline-focused data teams. Ranked #23 of 41 in Data Lineage Tools by our editors (6.9/10); pricing: Open source; best for open-source lineage metadata servers.
At a glance
- Editor score6.9 / 10
- PricingOpen source
- Best forOpen-source lineage metadata servers
- Paid fromNone
- Column-level lineageYes
- Facts checked21 Sep 2026
Where it wins
- OpenLineage-compatible collection with dataset, job, and run metadata
- Visual graphs plus APIs for dependency traversal and column lineage
- Docker and Kubernetes deployment with broad pipeline-tool compatibility
Where it doesn't
- Self-hosted deployment requires a managed Docker or Kubernetes environment
- Its stated scope focuses on pipeline lineage rather than report lineage
- The interface and APIs center on metadata exploration, not a broader analytics suite
Our verdict on Marquez
Marquez is an open-source metadata service for collecting, storing, querying, and visualizing data ecosystem metadata. It is designed for data engineering, governance, quality, and platform teams that need to track jobs, datasets, runs, schemas, dependencies, and execution details. The product combines an OpenLineage-compatible metadata server with a web interface and APIs, making it suitable for organizations that want to operate lineage infrastructure within their own environment.
Its strongest fit is an ecosystem built around modern data pipeline tools. Marquez can connect with Apache Airflow, Apache Spark, Apache Flink, dbt, Dagster, and OpenLineage, while its lineage API supports dependency traversal and automation. The web interface provides visual lineage graphs, and the platform stores metadata across datasets, jobs, and runs. Column-level lineage, metadata versioning, and schema-change history add useful depth for teams reviewing pipeline dependencies or assessing changes across a data estate.
Marquez is a focused choice rather than a broad analytics or governance suite. Docker and Kubernetes deployment options support self-hosted operation, but the adopting team is responsible for running that environment. Its stated capabilities emphasize pipeline lineage, metadata history, dependency exploration, and column-level lineage; report lineage is outside that focus. Choose Marquez if OpenLineage compatibility, API access, visual graphs, and control over deployment are priorities. Consider an alternative when hosted operation or report-level lineage is central to the buying decision.
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Marquez pricing
Marquez fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | None |
| Automated discovery | Yes |
| Column-level lineage | Yes |
| Impact analysis | Yes |
| Pipeline lineage | Yes |
| Report lineage | Not verified |
| Deployment | Self-hosted |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: Apache Airflow, Apache Spark, Apache Flink, dbt, Dagster, OpenLineage |
| Pricing | Open source |
| Website | marquezproject.ai |
| Facts checked | 21 Sep 2026 |
Marquez integrations
Marquez lists 6 integrations on its own site.
- Apache Airflow
- Apache Spark
- Apache Flink
- dbt
- Dagster
- OpenLineage
Alternatives to Marquez
- 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 Marquez alternatives →
Also Ranked In
Marquez is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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