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Causal allows you to integrate real time data from your own systems into a Causal feature using our plugin architecture.

There are several advantages to making this data available to Causal in real time. You can use it to:

  1. define audiences with which to scope features
  2. define metrics for measuring experiments
  3. feed real time machine learning models
  4. augment your warehouse analytics tables

Currently we allow arbitrary Java code as a plugin. You can read about Java plugins in the Developing Plugins section.

In the future, we indend to develop more plugins that can natively access other data sources (eg redis, dynamo, python code). Please email if you are interested in a particular type of plugin.