- Published
- Author
- Puneeth kumarSystem Analyst
ClickHouse DB
It is a column-oriented database management system designed for online analytical processing (OLAP). It's optimised for real-time analytics on large volumes of data and is known for being fast, highly scalable, and efficient for read-heavy workloads like metrics, logs, events, and other analytical data.
Key features are -
1. Columnar storage : Stores data by columns instead of rows, enabling efficient compression and faster reads.
2. Works super fast : Designed to process billions of rows per second per server.
3. SQL-compatible.
4. Materialized views : For real-time aggregation and data transformation.
#databases #click_house_db #analytics
It is a column-oriented database management system designed for online analytical processing (OLAP). It's optimised for real-time analytics on large volumes of data and is known for being fast, highly scalable, and efficient for read-heavy workloads like metrics, logs, events, and other analytical data.
Key features are -
1. Columnar storage : Stores data by columns instead of rows, enabling efficient compression and faster reads.
2. Works super fast : Designed to process billions of rows per second per server.
3. SQL-compatible.
4. Materialized views : For real-time aggregation and data transformation.
#databases #click_house_db #analytics