ClickHouse is an open-source data warehousing solution that is architected as a columnar database management system. This makes it extremely powerful to work with massive datasets, especially ones that are long as they can be aggregated, ordered, or computed with low latency. When working with the same data type, it’s very efficient for fast scanning and filtering of the data. This makes it a great use case for implementing a search engine.

A lot of applications use Elasticsearch as their search engine solution. However, such an implementation can be expensive both in terms of cost and time. Copying the data over to Elasticsearch can also cause lags because data is being migrated to another data store. Also, setting up the Elasticsearch cluster, configuring the nodes and defining and fine-tuning indexes can take more programmatic work, which may not be justified for all projects.