ClickHouse Reviews & Ratings

ClickHouse

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 3 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is ClickHouse?

ClickHouse is a highly efficient, open-source OLAP database management system that is specifically engineered for rapid data processing. Its unique column-oriented design allows users to generate analytical reports through real-time SQL queries with ease. In comparison to other column-oriented databases, ClickHouse demonstrates superior performance capabilities. This system can efficiently manage hundreds of millions to over a billion rows and can process tens of gigabytes of data per second on a single server. By optimizing hardware utilization, ClickHouse guarantees swift query execution. For individual queries, its maximum processing ability can surpass 2 terabytes per second, focusing solely on the relevant columns after decompression. When deployed in a distributed setup, read operations are seamlessly optimized across various replicas to reduce latency effectively. Furthermore, ClickHouse incorporates multi-master asynchronous replication, which supports deployment across multiple data centers. Each node functions independently, thus preventing any single points of failure and significantly improving overall system reliability. This robust architecture not only allows organizations to sustain high availability but also ensures consistent performance, even when faced with substantial workloads, making it an ideal choice for businesses with demanding data requirements.

What is AntDB?

AntDB, developed by AsiaInfo Technologies, is a distributed relational database designed for optimal performance in both online transaction processing and online analytical processing. This cutting-edge database serves over 1 billion subscribers across 24 provinces in China, efficiently handling vast amounts of business data related to calls, internet access, payments, and billing. Thanks to its cloud-native architecture, AntDB provides seamless scalability, data consistency, and high availability across various data centers. Complying with SQL2016 standards, it easily integrates with numerous domestic platforms, including leading CPUs and operating systems. The system is equipped with features such as automatic high availability, online elastic capacity expansion, and kernel-level read/write splitting, which enhance its ability to manage traffic during peak periods effectively. Its proven success in various sectors, including telecommunications, finance, transportation, and energy, highlights AntDB's adaptability and reliability in different business environments. Consequently, this database remains essential for strengthening the digital infrastructure that supports these critical industries, making it a valuable asset in today's data-driven world.

Media

Media

Integrations Supported

CelerData Cloud
DataGrip
Dosi
Endeavor
Explo
Flagsmith
IBM watsonx.data
Mitzu
Netdata
NimbleBrain
OpenMetadata
Preset
Resmo
SQL
SayData
Sequel
Timbr.ai
Wyn Enterprise
Yandex Managed Service for ClickHouse
arcodash

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

ClickHouse

Date Founded

2021

Company Location

United States

Company Website

clickhouse.com

Company Facts

Organization Name

Antdb AsiaInfo

Date Founded

2008

Company Location

China

Company Website

antdb.co

Categories and Features

Columnar Databases

Not specified

Database

Not specified

Distributed Databases

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Distributed Databases

Not specified

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