About
Dingolytics is an open-source tool to collect and store analytical data on product usage and metrics — highly customizable, interoperable, and developer-friendly. We help developers integrate data collection easily and export results to stakeholders in a convenient way.
Use cases
Dingolytics can be used for both user-facing analytics and internal system monitoring. Common use cases include:
- Real-time view counting for content and media
- System resource monitoring and alerting
- Website analytics and page view tracking
- Mobile app usage and behavior analytics
- Server-side logging and event tracking
Technical stack
The core of Dingolytics combines two powerful technologies — ClickHouse and Vector. Together, they enable us to build a highly performant, industry-standard data collection and analytics pipeline.
ClickHouse is a fast, open-source column-oriented database management system that's primarily designed for online analytical processing scenarios. It can process billions of rows and tens of gigabytes of data per server per second, making it one of the fastest DBMS options available. It provides a SQL-like query language that will be familiar to most database developers.
Vector is an open-source, high-performance observability data pipeline tool. It helps collect, transform, and route various types of observability data (logs, metrics, and traces) to different destinations.