Clickhouse Architecture
- ClickHouse is a columnar database that supports SQL queries. It stores data in columns rather than rows, which makes it very efficient for analytical queries on large datasets.
- It is designed to handle massive amounts of data and can scale horizontally across multiple servers.
- ClickHouse has a pluggable storage engine architecture, which allows it to work with different types of storage like local disks, distributed file systems, object stores, and cloud storage.
- ClickHouse also supports replication and sharding for high availability and performance.
Use Cases
- ClickHouse is designed for OLAP (online analytical processing) workloads, which involve running complex analytical queries on large datasets.
- It is commonly used for time-series data, log analytics, clickstream analysis, and business intelligence.
- ClickHouse is often used in conjunction with other databases like MySQL or PostgreSQL, which are used for OLTP (online transaction processing) workloads.