You can easily enable storing event data into ClickHouse by adding it as a destination on the RudderStack dashboard and connecting it to the configured source of your choice. Once the destination is enabled, the event data from your sources will automatically start to flow to ClickHouse through RudderStack.
By Adding ClickHouse Support for RudderStack, you can:
- Ensure that the data is being delivered to ClickHouse reliably and in real-time
- Specify various sources to send your event data – ranging from websites to various mobile platforms such as Android and iOS
- Specify intermediate storage such as Amazon S3, Google BigQuery, MinIO, etc. for storing staging files
- De-dupe the events that are being loaded into ClickHouse without any hassle
Frequently Asked Questions
What is Clickhouse used for?
Clickhouse is a data warehouse that enables developers to send data from their Data Warehouse.
Is it hard to set up Clickhouse?
Difficulty can vary based on your data structure, data cleanliness and required destinations. Many users choose to simplify implementation by sending warehouse data through secure data warehouse integration tools like RudderStack.
How much does it cost to integrate Clickhouse with RudderStack?
Who uses ClickHouse?
More than 35 companies currently use ClickHouse as a part of their tech stack. Some of the prominent ones among these are AppsFlyer, bigin, Postclick, and useinsider.
Is ClickHouse fast?
The developers at Yandex designed ClickHouse to be fast and have a very good query execution performance. ClickHouse uses all the available hardware to its maximum potential, with peak processing performance for a single query standing at 2 TB/second. In a distributed setup, the reads are balanced automatically among the healthy replicas so as to reduce the overall latency.
What is the difference between a column-oriented and a row-oriented database?
Column stores are relational databases that store data by columns rather than rows. A traditional database is usually row-based, where the attributes of one instance are stored together in a row, followed by the attributes of the next row. However, in a column-oriented database, one logical file per attribute is used. This structure makes it possible to read and pull out only the columns you need for a query, without accessing the unrelated or redundant data.
Use the ClickHouse integration with popular sources
ClickHouse is a column-oriented DBMS mainly used for running online analytical processing (OLAP) queries. It is open-source, fast, and allows you to store real-time data for analysis.
ClickHouse was originally developed by Yandex – the Russian IT company. Some of its features include linear scalability, very good fault tolerance, and high reliability. Because of its column-oriented nature, you can process billions of rows and multiple gigabytes of data per second, without any hassle.
ClickHouse is very simple and easy to use and works out of the box. It is your perfect database for all your data processing, ingestion, and reporting needs.