Marquez

Metadata collection and visualization for data ecosystems.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Marquez?

Marquez collects, aggregates, and visualizes metadata from various data sources to provide observability into complex data pipelines. It helps teams understand the lineage of their data and track dependencies across different systems.

Key differentiator

Marquez stands out by providing a self-hosted, open-source solution for collecting and visualizing metadata from diverse data sources, making it ideal for teams that need deep insights into their complex data ecosystems without relying on cloud services.

Capability profile

Strength Radar

Metadata collect…Visualization of…Integration with…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Metadata collection and aggregation from various data sources.

Visualization of data lineage and dependencies.

Integration with popular data platforms like Apache Airflow, Kafka, and Spark.

Fit analysis

Who is it for?

✓ Best for

Teams building or maintaining large-scale data pipelines who need to understand data lineage and dependencies.

Organizations implementing MLOps practices that require comprehensive metadata management.

✕ Not a fit for

Small projects with simple data flows where manual tracking is sufficient.

Real-time streaming applications requiring low-latency metadata processing.

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with Marquez

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →