Description
ClickHouse is an open-source column-oriented database management system optimized for online analytical processing (OLAP). It is designed to deliver real-time analytics, enabling users to generate data reports using SQL queries with millisecond query performance. ClickHouse is trusted by leading companies such as Sony, Lyft, and Cisco for its scalability, efficiency, and ease of use.
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The platform supports various use cases, including real-time analytics, observability, data warehousing, and machine learning. It allows users to analyze billions of rows in real time, store and query logs, metrics, and traces at scale, and power machine learning and generative AI with fast vector search and scalable training.
ClickHouse offers a cloud service that provides the fastest and most cost-efficient way to build real-time analytics, observability, and AI-powered data applications. It is available on major cloud marketplaces such as AWS, GCP, and Azure. The cloud service features automatic scaling, separation of storage and compute, and built-in integration frameworks.
Pricing for ClickHouse Cloud starts at $50/month, offering a pay-for-use model that automatically scales compute resources based on workload. Users can reserve compute resources to meet demanding workloads and set autoscaling limits to prevent unexpected bills.
ClickHouse is developer-friendly, ensuring sophisticated data analysis can be done intuitively using simple SQL. It is also secure and compliant, with features like data masking policies and automated backups. The platform integrates seamlessly with various data ingestion, visualization, and language clients, making it versatile for different applications.
- CategoryAI Data Analysis
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsAWS, GCP, Azure
ClickHouse Database's Core Features
Open-source column-oriented database
Real-time analytics
Millisecond query performance
Scalable machine learning support
Cloud service available
Automatic scaling
Separation of storage and compute
Built-in integration frameworks
Secure and compliant
Developer-friendly SQL interface
Cost-effective compression
100+ integrations
High availability
Automated backups
Data masking policies
How to use ClickHouse Database?
Configure: Set up your database environment
Use: Execute SQL queries for real-time analytics
Optimise: Scale resources based on workload
Integrate: Connect with data ingestion and visualization tools
ClickHouse Database's Use Cases
- Real-time analytics
- Observability
- Data warehousing
- Machine learning
- GenAI applications
