Dataiku offers numerous capabilities for implementing a complete MLOps practice:

This section focuses on the following MLOps-specific capabilities:

  • Curating features in a Feature Store

  • Evaluating and comparing models and model versions

  • Analyzing drift

  • Importing models from external Machine Learning systems

  • Tracking code experiments

  • Monitoring projects, endpoints and models health


To get started with MLOps, you may wish to first try the MLOps Quick Start and other resources on MLOps and operationalization in the Knowledge Base.