ML Metadata Store Solutions
- 01. Neptune - A Metadata store for MLOps, built for research and production teams that run a lot of experiments
- 02. TensorFlow ML Metadata (MLMD) is a library for recording and retrieving metadata associated with ML developer and data scientist workflows.
- 03. Google Cloud Vertex ML Metadata captures your ML system's metadata as a graph.
- 04. The MLflow Model Registry component is a centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of an MLflow Model.
- 05. ArangoML provides support for common metadata storage across the entire machine learning lifecycle, and there enables reproducibility, monitoring, and auditing for your machine learning models.