VALIDATED INTEGRATION PARTNERS
MLflow
Experiment tracking and model governance built into Postgres® AI pipelines.
Integration overview
How it works with EDB Postgres AI
How it works
MLflow tracks model experiments, versions, and deployment decisions tied directly to EDB Postgres AI (EDB PG AI) pipeline runs. Model artifacts, parameter logs, and metrics link to the underlying Postgres data.
Why EDB
AI built on Postgres data is only trustworthy if you can reproduce it. MLflow adds lineage and reproducibility—every experiment traces back to the governed Postgres datasets it ran on, making AI workflows auditable end to end.
Every experiment, model version, and deployment decision is tracked—so AI built on EDB Postgres AI is reproducible, governed, and auditable.