DataHub describes itself as a context platform for data and AI stacks.
Open source
24 alternativesMarquez
Marquez collects, aggregates, and visualizes metadata about a data ecosystem.
About Marquez
Marquez is an open source metadata service that collects, aggregates, and visualizes metadata about a data ecosystem. It records how datasets are produced and consumed, shows job runtime and how often datasets are accessed, and centralizes dataset lifecycle management. WeWork released the project. It is an LF AI & Data Foundation Graduated project and is under active development.
Marquez is set up with Docker, using a script from the repository, and collects dataset, job, and run metadata as OpenLineage events. The Web UI provides a lineage graph and run history. Limits: by default the HTTP API requires no authentication or authorization, the GraphQL endpoint is in beta, and macOS reserves port 5000, so an alternate port must be configured for local use there.
Key features
- Tracks provenance of how datasets are produced and consumed
- Shows job runtime and frequency of dataset access
- Lineage graph showing jobs and the datasets they produce and consume
- Web UI for viewing run metadata of current and previous job runs
- Collects dataset, job, and run metadata using OpenLineage events
- Docker startup script with optional build and sample metadata seeding
Best for: Data teams that want to track dependencies between jobs and datasets and collect that metadata through OpenLineage.
Good for
- Open source, with the code and documentation in a public GitHub repository
- LF AI & Data Foundation Graduated project
- Quickstart uses Docker and can load sample lineage metadata
Watch out for
- By default, the HTTP API does not require authentication or authorization
- The GraphQL endpoint is currently in beta
- Windows and macOS users need extra setup, such as a Git line-ending setting and an alternate API port on macOS
Marquez at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Marquez alternatives
Tools and sites you could use instead, ranked by how closely they match.
ModelDB tracks machine learning model versions, metadata, and experiments.
Open source
24 alternatives
OpenMetadata provides data cataloging, discovery, quality, observability, governance, and lineage tools.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Open source
24 alternatives
Cog packages machine learning models into containers to support deployment across environments.
Open source
24 alternatives
DJL is a Java framework for running deep learning models across different engines.
Open source
24 alternativesPopular in AI Infrastructure & MLOps
Well-known listings from the same topic.
Guild AIguild.aiFlow AIflow-ai.comsystemprompt.iosystemprompt.ioCoreWeavecoreweave.comKili Technologykili-technology.comAPI docsdocs.x.ai
Marquez FAQ
How is metadata sent to Marquez?
Metadata is sent as OpenLineage events, either through the LineageAPI or through an OpenLineage integration.
Does the HTTP API require login?
No. By default, the HTTP API does not require any form of authentication or authorization.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.