👩💻👨💻 We are the Dingolytics team.
⚡️ 2024-Feb-20: Watch out the initial release (v0.1.0), self-hosted option is available
We build Dingolytics to help getting started with end-to-end data management from day one of project development cycle.
Our tech stack includes:
- ClickHouse as a main data storage
- Vector as a data ingestion tool
- Dingolytics API and web UI applications
We provide management layer for ClickHouse and Vector to make integration easier and quicker to set up.
🚧 The project is under active development and things are going to change. Yes, this is a DISCLAIMER.
- Front-end / JavaScript & React: dingolytics
- Back-end / Python: dingolytics-backend
- Self-hosted example / Docker: dingolytics-selfhosted
Please let us know if you want to implement Dingolytics in real projects! And tell us about challenges you have with the implementation.
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Choosing technology stack
- Validate ClickHouse as a main storage for logs
- Validate Vector as a tool for logs aggregation
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Building a prototype
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⏳ Building and releasing an MVP
- "MVP candidate" Initial release
- ⏳ Collecting feedback
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Sky is the limit!