ClickHouse
A blazing fast, open-source, column-oriented database for real-time analytics and data warehousing.
GitHub Stars
47.6k+
Query Speed
100x faster than traditional DBs
Contributors
2.9k+
Integrations
100+
About ClickHouse
ClickHouse is an open-source, column-oriented OLAP database built for speed and resource efficiency. Its architecture, which stores data by columns rather than rows, combined with vectorized query execution and advanced compression, allows it to process analytical queries up to 100x faster than traditional row-oriented databases. This performance makes it ideal for powering interactive dashboards, real-time analytics, and data-intensive applications. Key use cases include observability (logs, metrics, traces), data warehousing, and powering machine learning and generative AI applications with fast vector search capabilities. ClickHouse can be self-hosted, deployed in any major cloud provider, or used via the managed ClickHouse Cloud service.
Core Architecture
Database Type
Column-oriented OLAP DBMS
Query Language
SQL
Performance Features
Vectorized query execution, parallel processing, advanced data compression.
Data Formats
Supports various formats including Parquet, CSV, JSON, and more.
Deployment Options
Clickhouse Cloud
Fully managed service available on AWS, GCP, and Azure.
Self-Managed
Free, open-source version for deployment on any infrastructure.
Clickhouse Local
Serverless version for running fast queries on local files.
Primary Use Cases
Real-Time Analytics
Powering interactive dashboards and applications with millisecond query results.
Observability
Storing and querying logs, metrics, and traces at scale.
Data Warehousing
Offloading heavy analytical workloads and exploring large datasets instantly.
Machine Learning & Genai
Fast vector search, instant aggregations, and scalable model training.