Marquez
An OpenLineage-compatible metadata platform for collecting, storing, and visualizing data lineage and ecosystem information
- Vendor
- LF AI & Data Foundation
- Also known as
- marquez
What is Marquez?
An open-source metadata server that captures data lineage and ecosystem metadata from running jobs and applications. Provides real-time collection via OpenLineage-compatible endpoints, a web interface for browsing lineage relationships, and APIs for querying metadata to automate tasks like root-cause analysis and data quality monitoring.
Marquez pricing
We don't have Marquez's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Marquez does
The capabilities that matter for data catalog, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Column lineage
- -
- Automated lineage
- ✓
- Openlineage support
- ✓
- Business glossary
- -
- Data classification
- -
- Policy enforcement
- -
- Data quality
- ✓
- Active metadata
- -
- AI search
- -
- Open source
- ✓
- SOC2
- -
Platform & deployment
Independently observed- Web
- On-premise
- Self-hosted
Integrations (6)
Independently observed- OpenLineage•
- Apache Airflow•
- Dagster•
- Apache Spark•
- Apache Flink•
- dbt•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Marquez FAQ
Common questions about Marquez, answered from independent, dated evidence.
What is Marquez?
A platform for collecting and managing metadata about datasets and their relationships within a data ecosystem. It provides visibility into data lineage, job execution, dataset access patterns, and centralizes dataset lifecycle management. It is indexed under Data Catalog.
Source: https://marquezproject.ai
Is Marquez free to use?
Marquez is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://marquezproject.ai
What platforms does Marquez support?
Marquez supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://marquezproject.ai
Can Marquez be self-hosted?
Yes. Marquez can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://marquezproject.ai
Is Marquez open source?
Yes. Marquez is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Marquez alternatives
Other data catalog we track, ranked by the same independent score.
- OpenMetadataCommunity-driven open-source platform for aggregating, governing, and discovering metadata across data ecosystems.low · 5%
- AlationData governance and cataloging platform that combines lineage tracking, quality monitoring, and policy enforcement to support reliable AI applicationslow · 43%
- AtlanA metadata management platform that provides AI systems with business context, data lineage, and access policies for accurate, compliant data understandinglow · 7%
- SecodaAI-powered platform for data governance, discovery, and monitoringmedium · 56%
- DataHubA metadata platform for managing data context in AI and analytics systemslow · 24%
- Select StarMetadata platform that enables AI to understand data relationshipslow · 42%
Compare Marquez
Side by side against other data catalog, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Marquez, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 88 | 0.08 | 7.1 | ✓ |
| Capabilities | 67 | 0.08 | 5.4 | ✓ |
| Stars | 63 | 0.05 | 3.0 | ✓ |
| Integrations | 22 | 0.05 | 1.2 | ✓ |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | ✓ |
| Security posture | 5 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source, Data quality, Automated lineage, Openlineage support | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-10-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Java | highsource · 2026-10-14 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-14 · 95% |
Pricing
Release
Security
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