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ClickHouse Overview

ClickHouse is an open-source column-oriented database management system (DBMS) designed for online analytical processing (OLAP). It allows generating analytical data reports in real-time using SQL queries, offering high performance and efficiency for data analysis.

Key Features​

  • Column-Oriented Storage: Optimized for reading and writing large amounts of data, making it ideal for analytical queries.
  • Real-Time Analytics: Enables real-time data processing and analytics.
  • SQL Support: Provides a powerful SQL query interface for data manipulation and retrieval.
  • High Performance: Designed for high-speed data processing and query execution.
  • Scalability: Supports horizontal scaling for handling large datasets.
  • Open Source: Free to use, modify, and distribute under an open-source license.

Tech Stack​

We offer multiple configurations of ClickHouse optimized for performance and stability. Below are the details of our setups:

ClickHouse (latest version) on Ubuntu Server 22.04​

  • ClickHouse (latest version): A fast open-source columnar database management system for online analytical processing (OLAP) of queries.
  • Ubuntu Server 22.04 (Jammy Jellyfish): A stable and secure long-term support release, offering enhanced security and support until April 2027.

Key Benefits​

  • Enhanced Security: Ubuntu 22.04 provides the latest security updates and long-term support.
  • High Performance: ClickHouse is optimized for fast query execution and real-time analytics.
  • Scalable Architecture: Easily scale to handle large datasets and high query loads.

ClickHouse (latest version) on Ubuntu Server 20.04​

  • ClickHouse (latest version): A fast open-source columnar database management system for online analytical processing (OLAP) of queries.
  • Ubuntu Server 20.04 (Focal Fossa): A stable and secure long-term support release, known for its reliability and security.

Key Benefits​

  • Proven Stability: Ubuntu 20.04 offers a reliable and secure platform for running ClickHouse.
  • Efficient Data Processing: ClickHouse is designed for efficient data processing and high-speed analytics.
  • Scalability: Supports horizontal scaling for managing large volumes of data.

Getting Started with ClickHouse​

  1. Connecting to ClickHouse: Use the ClickHouse client to connect to the server and run queries. 
    clickhouse-client
  2. Creating Databases and Tables: Use SQL commands to create databases and tables for storing data. 
    CREATE DATABASE example_db;
    CREATE TABLE example_table (id UInt32, name String) ENGINE = MergeTree() ORDER BY id;
  3. Inserting and Querying Data: Insert data into tables and run queries to retrieve and analyze data. 
    INSERT INTO example_table VALUES (1, 'Alice'), (2, 'Bob');
    SELECT * FROM example_table;
  4. Scaling ClickHouse: Configure ClickHouse for horizontal scaling to handle larger datasets and higher query loads.

Resources​