OpenLineage review
A flexible open standard for collecting interoperable lineage events.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
OpenLineage is an open framework and standard for collecting lineage metadata from datasets, jobs, and runs. It is designed for data engineering teams that need interoperable lineage collection across distributed data-processing systems. The project provides an event model, client libraries, configurable transports, and integrations for technologies including Apache Airflow, Apache Flink, Apache Hive, Apache Spark, dbt, Feast, Great Expectations, SQL, and Trino. It supports both runtime and design-time lineage events through API and self-hosted platforms.
Its strongest technical feature is the breadth of metadata the event model can represent. OpenLineage supports column-level mappings from input fields to output fields, along with transformation and dependency facets for joins, filters, sorting, and aggregation. Client libraries help pipeline and processing tools emit lineage events, while configurable transports send those events to compatible backends. This makes OpenLineage a useful foundation for teams standardizing lineage collection across multiple systems rather than adopting a single closed collection path.
OpenLineage should not be treated as an all-in-one metadata server. It sends lineage events to a compatible backend instead of storing and analyzing them itself; Marquez is identified as one backend that can receive and analyze OpenLineage events. Teams choosing it should be prepared to select, configure, and operate the surrounding backend and deployment stack. It fits organizations that want an open specification, broad pipeline integrations, and extensible event collection. Teams seeking a standalone product with built-in metadata storage and analysis should choose a different approach.
OpenLineage pros and cons
- Where it wins
- Open event model covers datasets, jobs, and runs
- Column mappings and transformation facets capture detailed lineage
- Integrations span Airflow, Spark, dbt, Trino, and more
- Where it doesn't
- It is not a metadata server or standalone lineage application
- Analysis depends on a compatible backend receiving its events
- Self-hosted deployment requires teams to manage the surrounding stack
OpenLineage fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update