Overview
What is ClickHouse?
ClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.
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Product Details
- About
- Integrations
- Competitors
- Tech Details
What is ClickHouse?
ClickHouse is an advanced open-source columnar database management system designed for high-performance analytical queries and large-scale data processing. Boasting a unique architecture and efficient data compression, ClickHouse enables users to run real-time queries on massive datasets, making it ideal for big data analytics, time-series data, and data warehousing solutions. It is also offered as a scalable serverless offering in the cloud. ClickHouse Cloud provides users real-time analytical processing.
Key Features and Benefits:
High query performance: ClickHouse's columnar storage structure and advanced query optimization techniques drive fast processing of complex analytical queries.
Scalability: ClickHouse is built to handle large volumes of data and can be scaled horizontally or vertically as needed, to ensure flexibility and reliability for growing data demands.
Data compression: By storing data in columns and utilizing advanced compression algorithms, ClickHouse can reduce storage requirements to produce cost savings and improved query performance.
Distributed processing: ClickHouse supports distributed data processing across multiple nodes, for efficient processing of vast datasets and to enhance query performance.
Versatile use cases: ClickHouse is suited for various applications, including OLAP systems, data warehousing, time-series databases, and big data analytics.
The vendor states that ClickHouse offers advantages in terms of performance, cost savings, and adaptability so that companies leveraging ClickHouse can expect:
- Faster decision-making through real-time analytics
- Reduced infrastructure costs due to efficient data compression
- Seamless scalability for future data growth
ClickHouse Features
- Supported: Query performance: ClickHouse's columnar storage structure and advanced query optimization techniques support fast processing of complex analytical queries.
- Supported: Scalability: ClickHouse is built to handle large volumes of data and can be scaled horizontally or vertically as needed.
- Supported: Data compression: By storing data in columns and utilizing advanced compression algorithms, ClickHouse reduces storage requirements.
- Supported: Distributed processing: ClickHouse supports distributed data processing across multiple nodes, for more efficient processing of vast datasets and enhanced query performance.
- Supported: Use cases: ClickHouse is suited for various applications, including OLAP systems, data warehousing, time-series databases, and big data analytics.
ClickHouse Video
ClickHouse Integrations
ClickHouse Competitors
ClickHouse Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | No |
Supported Countries | Global |