Clickhouse is a columnar database management system designed for online analytical processing (OLAP). It enables real-time data analytics and high-speed query performance on large datasets.
Top 5*
Database Technologies
About Clickhouse
Clickhouse was created in 2016 by engineers at Yandex to address the need for a high-performance, scalable database capable of handling real-time analytical queries on large datasets. It was developed to improve the efficiency and speed of data processing for Yandex's web analytics service.
Clickhouse's strengths include high query performance, efficient data compression, and scalability for large datasets. Its weaknesses involve limited support for transactional workloads and complex multi-table joins. Competitors include Amazon Redshift, Google BigQuery, and Apache Druid.
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How to hire a Clickhouse expert
A Clickhouse expert must have proficiency in SQL, understanding of OLAP systems, experience with data modeling and schema design, knowledge of columnar storage formats, and familiarity with performance optimization techniques.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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