// databases-warehouses

ClickHouse

Fast Columnar OLAP Database

Databases & Data WarehousesFreemium★ 4.7featured

About ClickHouse

An open-source columnar database management system designed for online analytical processing (OLAP). ClickHouse delivers exceptional query performance on large datasets, making it ideal for real-time analytics, log analysis, and time-series data.

Key Features

1Column-oriented OLAP database for real-time analytical queries
2Query execution speeds of billions of rows per second on commodity hardware
3MergeTree table engine with built-in deduplication and partitioning
4Materialized views for real-time aggregation as data is inserted
5Native support for JSON, nested arrays, and semi-structured data

How Python Data Engineers Use ClickHouse

Python data engineers use `clickhouse-connect` or `clickhouse-driver` to load pipeline outputs into ClickHouse and run fast analytical queries. A common pattern is streaming Kafka events into a ClickHouse table using the Kafka engine, then querying aggregated metrics in real time with sub-second response times for dashboard or alerting use cases.

Frequently Asked Questions

What is ClickHouse used for?▾

Is ClickHouse free to use?▾

ClickHouse offers freemium pricing options.

What category does ClickHouse belong to?▾

ClickHouse is listed under the Databases & Data Warehouses category on Python Data Engineering.

Verified Listing

Visit Website

// contains affiliate links

Details

Similar Databases & Data Warehouses Tools

3 tools

Tool	Pricing	Rating
CR CrateDB Distributed SQL Database	Freemium	★ 4.2	→
RQ RQLite Distributed SQLite Database	Free	★ 4.1	→
AH Apache HBase Distributed Column-Family Store	Free	★ 4.2	→