ClickHouse Application Scenarios

Updated on 2024-04-29 GMT+08:00

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ClickHouse, an abbreviation for "Click Stream + Data WareHouse", serves as a web traffic analysis tool initially designed for OLAP analysis within data warehouses based on page click event flows. ClickHouse has a large number of applications and practices worldwide. It is widely used in various fields such as Internet advertising, apps, web, telecommunications, finance, and IoT. It suits business intelligence ideally.

ClickHouse is widely used in the following scenarios:

User behavior analysis
Collect use data such as user clicks and browsing duration from the Internet (websites, APPs, and games) and import the data to ClickHouse to construct a wide table for user feature analysis. With the excellent query performance of ClickHouse, multi-dimensional and multi-mode analysis requests can be responded within subseconds. This helps quickly analyze user behaviors for precision marketing and member conversion.
Enterprise operations analysis
Large-scale transaction data is imported to ClickHouse to construct a large wide table with hundreds of millions of records and hundreds of dimensions. Queries are responded within subseconds. ClickHouse supports personalized statistics and uninterrupted analysis at any time, facilitating business decision-making.
Visitor source analysis
User behaviors are associated in user access logs through batch offline computing and a wide table of user behavior paths is generated and then synchronized to ClickHouse. A visualization system is built based on ClickHouse to display the interactive visitor source analysis results.
BI reports
Use ClickHouse to construct real-time interactive query reports to analyze core service metrics such as orders, revenues, and number of users in real time.
User segmentation statistics
Construct a user information table, select user attribute, tag data, and filter criteria in real time, and perform people feature statistics analytics based on a large number of data records.