Hopsworks provides a Redshift connector to enable Redshift tables to be an external feature group in Hopsworks. Redshift tables can also be a source for feature pipelines, with features stored in Hopsworks’ Online/Offline stores. Redshift tables can also be sinks for predictions or logs produced by inference pipelines.
You can extend Redshift with real-time feature serving capability with Hopsworks. You can also centrally manage features stored in Redshift on Hopsworks, enabling them to be joined with features from other data sources. You can easily use Redshift tables as data sources in Python or Spark feature pipelines.