Glossary /  


Databases & Files Format

Clickhouse is a column-oriented database management system (DBMS) that is specifically designed for online analytical processing (OLAP) workloads. It is an open-source, distributed, and scalable system that can handle large volumes of data with high query throughput and low latency.

Key Highlights

  • Column-oriented: Unlike traditional row-oriented databases, Clickhouse stores data in columns rather than rows, which makes it highly efficient for querying large datasets.
  • Distributed architecture: Clickhouse can be deployed across multiple nodes and clusters, making it highly scalable and fault-tolerant.
  • Real-time processing: Clickhouse can process and analyze data in real-time, providing insights that can be used to make data-driven decisions.


  1. Clickhouse Official Documentation
  2. Clickhouse GitHub Repository
  3. Clickhouse Tutorial for Beginners

Applying the Concept to Business

Clickhouse can be used by businesses to perform complex analytics on large datasets in real-time. For example, an e-commerce company can use Clickhouse to analyze customer behaviors and preferences to optimize its marketing strategy. Clickhouse can also be used to analyze log data, social media data, and other types of unstructured data to uncover insights that can be used to improve business operations. With its distributed architecture and high query throughput, Clickhouse is an ideal choice for businesses that need to process and analyze large volumes of data quickly and efficiently.