Open Saas Directory
ClickHouse

ClickHouse

★ 50,4609,119 forks9,119 contributorsUpdated 10/17/2026

Column-oriented database for real-time analytics on massive datasets

GitHubOfficial Documentation

Overview

Description

ClickHouse is an open-source column-oriented database management system built for real-time analytics on massive datasets. It processes billions of rows in milliseconds using vectorized query execution, making it a fast, self-hosted alternative to proprietary data warehouses like BigQuery and Snowflake.

Features

  • Columnar Storage: Stores data by column for extremely fast aggregation and scan queries.
  • Vectorized Execution: Processes data in batches using SIMD instructions for maximum CPU throughput.
  • Real-Time Ingestion: Handles continuous high-volume inserts without blocking analytical queries.
  • SQL Compatibility: Supports standard SQL plus extensions for arrays, JSON, and approximate functions.
  • Horizontal Scalability: Distributes data across clusters with built-in replication and sharding.
  • Materialized Views: Pre-aggregates data automatically to accelerate dashboard queries.

Technology Stack

Written primarily in C++ for maximum performance, with official client libraries for Python, Go, Java, and Node.js. Integrates with Kafka, Postgres, MySQL, and S3 for ingestion, and plugs into Grafana, Metabase, and Superset for visualization.

Requirements

Linux, macOS, or FreeBSD server (x86_64 or ARM64); Docker for the official container image; at least 4 GB RAM for small workloads (production clusters typically run 32 GB+); fast local or network-attached SSD storage recommended.