What's New

Tecton is releasing a new Run API to be used for dry-run executing a FeatureView's transformation the same way Tecton will execute it during materialization or at feature retrieval time.

cton is releasing a new API to be used for feature retrieval. For fetching features from the offline store, we've introduced the method get_historical_features. For fetching features from the online store, we've introduced the method …

You can now include batch_cluster_config configuration in Feature Table declarations. By specifying an EMRClusterConfig or DatabricksClusterConfig configuration or referencing an ExistingClusterConfig, the ingest materialization jobs will …

Existing admin users can now directly grant admin privileges to other users through the Admin console, rather than having to make a request to Tecton support. See the Admin console documentation for more detail.

You can now create additional workspaces with automatic materialization by using the flag --live.

The CLI "API key" commands have been refactored as sub-commands for consistency and clearer help docs.

In addition to monitoring the materialization status for individual Feature Views, we've now added a summary dashboard to easily see if any of the Feature Views in a workspace are stale or have failing materialization jobs.

The Tecton SDK is now being published to PyPI at https://pypi.org/project/tecton/ for easier installation.

Continuous mode for Stream Window Aggregate Feature Views now enables new event data to be included in feature values in less than a second.