Browse our tools to interact and integrate with Stream Machine, and learn how to implement safe streaming data.
STRM: our command line tool
The command line tool is a natural interface for engineers to set up, delete and manage privacy streams. You can control consent granularly, create exporters and sinks to read or stream back the data. Our CLI is the primary interface for techincal users and thus updated very regularly.
Our drivers are our SDK's: the software packages for specific platforms you need to send your data to Stream Machine. They take care of all authentication and connection management between your application and our API's.
Our driver for the Java platform is what you would expect: Java-based and performance focused.
The Python driver makes it easy to integrate Stream Machine into your *.py app or notebook.
Please reach out if you are missing a driver, we might have it under development already.
With our Kafka integration you can stream your privacy streams directly to an existing Kafka topic.
AWS S3 batch
The S3 storage integration writes your privacy streams to an AWS S3 storage bucket in the convenient JSONL format.
The GCP storage integration writes your privacy streams to a Google Cloud storage bucket in the convenient JSONL format.
To help you easily debug during development you can use this simple WebSocket integration. It is included in every driver build we distribute. Do not build production apps on this integration.
Please reach out if you are missing an integration to your sink of choice