This is a Dingolytics web UI application.
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.
Share your feedback and ask questions!
- Issues: https://github.com/Dingolytics/dingolytics/issues
- Telegram: https://t.me/dingolytics_community
- Slack: (coming soon)
- Integrated ClickHouse database and Vector data collector
- Data streams configuration with automated tables creation
- Vector ingestion paths based on HTTP/HTTPS
- Built-in standard schemas for logs and application events
- Web based SQL query editor with syntax highlighting and autocomplete
- Parameterized queries with JSON output and SVG widgets
- Deployment, self-hosted: dingolytics-selfhosted
- Web SDK for application events tracking: dingolytics-sdk-web
But also keep in mind that we are in the early stage of development and the documentation is mostly missing.
You'll need to start back-end first to start development.
Then you can start the front-end with:
yarn install
yarn startThanks to all the contributors to Redash! Please check the credits folder.
This repository contains a forked version of Redash, which is licensed under the BSD-2-Clause license (check the "LICENSE.redash" file).
This forked repository includes modifications made by Dingolytics team after commit ad7d30f, which are licensed under the Apache License, Version 2.0.
Dingolytics team:
- Alexey Kinev https://github.com/rudyryk
- Ekaterina Ponomarenko https://github.com/alesten-code