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ClickHouse

Fast open-source column-oriented database for real-time analytics

As of 30 August 2026, ClickHouse is free to use. ClickHouse is a column-oriented database management system for online analytical processing (OLAP). Softwr lists it under Databases. ClickHouse is made by ClickHouse Inc., launched in 2021, available on Linux, macOS, Windows.

Overview

What ClickHouse does

ClickHouse is a column-oriented database management system for online analytical processing (OLAP). It is capable of real-time generation of analytical data reports using SQL queries. ClickHouse is known for its exceptional query performance, often orders of magnitude faster than traditional databases.

What people use it for

  • Business intelligence
  • Data warehousing
  • Real-time analytics
  • Reporting
  • Machine learning

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about ClickHouse.

  • Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
  • Experimental vector search support, not production-ready for vector operations
  • Different query syntax from standard SQL requiring migration planning
  • Limited JOIN capabilities compared to traditional relational databases
  • Migration complexity with 2-4 weeks estimated for data type mapping and query translation

Cross-shopped

What people choose instead of ClickHouse

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • ClickHouse logo
    ClickHouse
    vs
    Apache Druid logo
    Apache Druid

    Apache Druid: OLAP data warehouse optimized for fast aggregations on large datasets, with similar columnar architecture.

  • ClickHouse logo
    ClickHouse
    vs
    Apache Pinot logo
    Apache Pinot

    Apache Pinot: Columnar OLAP database for real-time analytics with performance comparable to ClickHouse.

  • ClickHouse logo
    ClickHouse
    vs
    Amazon Redshift logo
    Amazon Redshift

    Amazon Redshift: Cloud data warehouse service with strong analytics capabilities and integration with AWS ecosystem.

Capabilities

Features

  • Column-oriented Storage

  • Real-time Analytics

  • SQL Support

  • Linear Scalability

  • Data Compression

  • Vectorized Query Execution

  • Approximate Calculations

  • Kafka

    Integration with Kafka

  • S3

    Integration with S3

  • MySQL

    Integration with MySQL

  • PostgreSQL

    Integration with PostgreSQL

  • Grafana

    Integration with Grafana

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

What is ClickHouse best used for?

ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.

Source
Does ClickHouse support transactions?

ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.

Source
How does ClickHouse compare to PostgreSQL?

ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.

Source

Behind it

Who makes ClickHouse

Company
ClickHouse Inc.
Based in
San Francisco, California

Timeline

ClickHouse over time

  1. Launch2016-06-15

    ClickHouse open-sourced and released as general-purpose database

    Source
  2. Milestone2009-01-01

    Yandex.Metrica uses specialized OLAP database for web analytics

    Source
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Keep looking

Where to go from ClickHouse

Best Databases software for

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Softwr does not host reviews and shows no star rating for ClickHouse, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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