ClickHouse

ClickHouse is an open-source (Apache 2.0) columnar OLAP database built for sub-second analytical queries at scale, self-hosted or via usage-based ClickHouse Cloud.

DatabasesOpen sourceSelf-hosted
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Published Updated

CategoryDatabases
AccessSelf-hosted
PricingFreemium
APISee vendor
Overview

What is ClickHouse?

ClickHouse is a columnar SQL database built for fast analytical queries over large datasets, originally developed internally and open-sourced in 2016. ClickHouse, Inc. was incorporated in 2021 and is headquartered in the San Francisco Bay Area, with a subsidiary in Amsterdam. The core database remains free under the Apache 2.0 license; ClickHouse Cloud is a separate usage-based managed service starting around $50/month.

Read the full overview

Sources checked 27 September 2026: official website, documentation, GitHub repository, pricing page.

Why teams use it

Key capabilities

  • Columnar SQL engine: Vectorized execution built for sub-second aggregate queries.
  • Multiple protocols: Native, HTTP and MySQL-compatible wire interfaces.
  • Deployment choice: Self-hosted (free) or ClickHouse Cloud (usage-based, from ~$50/month).
Core areas

Real-time analytics and OLAP database workloads are the primary use case.

Positioning

Shortlist ClickHouse when you need fast aggregation over billions of rows for analytics, observability or logging. Compare the operational cost of self-hosting a cluster against ClickHouse Cloud's usage-based pricing.

Why it matters

Benchmark against your actual query patterns and data volume, and confirm your team's plan for cluster sizing and backups before choosing self-hosting over ClickHouse Cloud.

Deployment & technical details

Technical details

Access
Self-hosted
Source model
Open source
Founded
2016
Headquarters
San Francisco, USA
Pricing model
Freemium
API
Not specified
Check with the publisher

Official resources

Before you shortlist

What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
Community experience

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