Open-source, self-hostable event data pipeline that streams web and app data to a warehouse in real time
- Stars4.8k
- Forks355
- Open Issues31
MIT
- TypeScript
- Go
- Shell
About Jitsu
Jitsu collects event data from websites and apps and streams it to a data warehouse or other services. It is a self-hosted, open-source alternative to Segment for teams that want to set up a real-time data pipeline in minutes.
Data can be sent with an HTML snippet, React, an NPM package, an HTTP API, or a Segment proxy. It is based on Bulker, an open-source data warehouse ingestion engine, and can also be used as a standalone tool for lower-level APIs.
Jitsu offers Docker Compose installation and a production deployment guide, with a cloud version at use.jitsu.com. It is maintained as open source under the MIT License, with self-hosting available for teams that want to run it themselves.
Key features
- Streams event data from websites and apps to a warehouse
- HTML snippet, React, NPM, HTTP API, and Segment proxy inputs
- Based on Bulker data warehouse ingestion engine
- Docker Compose install for self-hosted deployment
- Cloud version available at use.jitsu.com
Details
- On GitHub since
- 2020
- Language
- TypeScript · Go
- License
- MIT
- Platforms
- Web · Docker
- Install
- Docker Compose · Bulker engine
- Hosted option
- Cloud free up to 200k events/month