ClickHouse
ClickHouse is a fast open-source OLAP database for real-time analytics, offering millisecond queries at petabyte scale with cloud and self-hosted options.
Overview
What is ClickHouse?
ClickHouse is a leading open-source column-oriented OLAP database designed for real-time analytics. It powers agentic systems with millisecond queries at petabyte scale, enabling fast insights, observability, data warehousing, and machine learning. Trusted by companies like Anthropic, Tesla, and Lyft, it offers high performance, cost efficiency, and seamless integration with 100+ tools.
What is ClickHouse used for?
Tags

Top Features
- Blazing fast query performance with millisecond latency at petabyte scale
- Column-oriented storage for efficient OLAP workloads
- Open-source and free to self-host
- ClickHouse Cloud fully managed service on AWS, GCP, and Azure
- Real-time analytics and dashboards
- Observability with ClickStack for logs, metrics, traces, and session replays
- Data warehousing and business intelligence
- Machine learning and GenAI support with vector search
- 100+ integrations for data ingestion, visualization, and language clients
- Simple SQL interface for intuitive data analysis
- Best-in-class compression ratios for cost savings
- Secure, compliant, and resource-optimized
How to use ClickHouse?
Get started with ClickHouse Cloud for a free 30-day trial with $300 credits, or download open-source ClickHouse to self-host. Use simple SQL for intuitive data analysis, integrate with your existing stack via connectors, and deploy on AWS, GCP, Azure, or on-premise. Install via curl, Docker, or Windows, and explore real-time analytics, observability, and ML use cases.
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Pros & Cons
Pros
- Extremely fast query performance, often 100x faster than row-oriented databases
- Open-source with a large community and 50.2k+ GitHub stars
- Cost-effective due to high compression and resource efficiency
- Easy to scale and deploy in various environments
- Rich ecosystem of integrations and connectors
- Trusted by major enterprises like Anthropic, Tesla, and Lyft
Cons
- Not ideal for transactional (OLTP) workloads
- Self-managed deployment requires significant operational expertise
- Limited support for complex joins compared to traditional databases
- May require tuning for optimal performance
Use Cases
- Real-time analytics and dashboards
- Observability and log analytics
- Data warehousing and business intelligence
- Machine learning and GenAI applications
- Fraud detection and cybersecurity
- E-commerce and retail analytics
- Gaming and entertainment analytics
- Financial services analytics
ClickHouse Pricing
Cloud
$50/monthClickHouse Cloud starts at $50/month, with a free trial including $300 credits.
- Fully managed service on AWS, GCP, Azure
- 30-day trial with $300 credits
- Scalable and secure
- Real-time analytics
Self
CustomSelf-managed ClickHouse is free to download, but costs depend on your compute, storage, and operational resources.
- Open-source ClickHouse
- Self-managed deployment
- Free software
- Costs depend on infrastructure and management
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