Place up to three profiles side by side. Compare their architectural role, lifecycle reach, and first limitation to test. No single standard covers every layer.
Working set
Choose profiles
1 of 3 selected
01
OpenLineageData model / schema
Decision lens
Compare roles before choosing an implementation.
The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”
01
Start with the job
Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.
02
Map lifecycle reach
Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.
03
Test the boundary
Read what each option leaves unresolved before judging maturity or implementation fit.
Assessment
Review lifecycle coverage and practical fit.
Read left to right. Lifecycle reach comes first; a maturity label never overrides a scope mismatch.
01 · Lifecycle reach
Where each profile contributes directly
Coverage shows a recorded role at that readiness stage. It does not imply end-to-end implementation.
Lineage is only as complete as its instrumentation; inconsistent naming, missing events, facet-version drift, and backend retention can leave an incomplete history.
03 · Detailed assessment
Check the fit and source behind the map
Use the official source, version, and limitation together. A higher maturity label does not erase a scope mismatch.
Runtime and design-time events for jobs, runs, and datasets, with extensible facets for source code, schemas, versions, quality metrics, assertions, and other lineage context.
Best fitOperational lineage instrumentation across ETL, ELT, laboratory, feature-engineering, and model-data pipelines.
Readiness stages
AcquireHarmonizeExchangeLearn + reuse
AI-ready contribution
Supports dataset and feature traceability and quality evidence, but does not establish scientific semantics, consent, label validity, or model fitness.
First limitation to test
Lineage is only as complete as its instrumentation; inconsistent naming, missing events, facet-version drift, and backend retention can leave an incomplete history.
Maturity
Scaling
Actively maintained specification and integration ecosystem