ClickHouse
ClickHouse is an open-source column-oriented database that supports vectorized computation and now offers vector search features. Its architecture enables efficient real-time analytics and vector operations, making it a relevant choice for vector database use cases.
About this tool
ClickHouse
ClickHouse is an open-source, column-oriented database management system (DBMS) designed for online analytical processing (OLAP) and real-time analytics. It is optimized for high performance and efficient use of system resources, making it suitable for scenarios that require fast data ingestion and querying, including analytics, machine learning, observability, and more.
Features
- Column-Oriented Storage: Data is stored by columns, providing high performance for analytical queries.
- Open Source: Available as a free and open-source project.
- Real-Time Analytics: Designed for ultra-fast query performance on large-scale data in real time.
- Vector Search and Operations: Supports vectorized computation and vector search, enabling use cases in machine learning and generative AI.
- Best-in-Class Compression: Efficient data compression for reduced storage requirements and improved performance.
- Resource Optimized: Maximizes use of available system resources to accelerate analytical queries.
- Scalability: Proven to handle trillions of data points and millions of rows ingested per second.
- Developer Friendly: Uses intuitive SQL for complex analytics.
- Multiple Deployment Options:
- ClickHouse Cloud: Managed service available on AWS, GCP, and Azure.
- Bring Your Own Cloud: Managed service deployed in your own cloud account.
- Self-Hosted ClickHouse: Free to run on your own infrastructure.
- ClickHouse Local: Run fast analytical queries on local files without a server.
- 100+ Integrations: Broad ecosystem for data ingestion, visualization, and language clients.
- Security and Compliance: Features for enterprise security and compliance (details on the website).
- Proven at Scale: Used by large organizations for mission-critical analytics workloads.
- Supports Various Use Cases: Real-time analytics, business intelligence, observability/logs, machine learning, fraud detection, financial services, gaming, and more.
Pricing
- ClickHouse Open Source: Always free to download and run on your own infrastructure.
- ClickHouse Cloud: Managed service, pricing details available on the pricing page (not specified in provided content).
- Bring Your Own Cloud: Managed service in your own cloud account, see website for pricing.
Tags
open-source, analytics, vector-search, real-time
Category
vector-database-engines
Loading more......
Information
Categories
Similar Products
6 result(s)Trieve provides an all-in-one infrastructure for vector search, recommendations, retrieval-augmented generation (RAG), and analytics, accessible via API for seamless integration.
LanceDB is a columnar vector database optimized for real-time AI use cases and analytics workloads, providing efficient vector storage and fast similarity search.
OpenSearch is a fully open-source, community-driven search and analytics suite that supports vector search, providing a transparent and flexible alternative for organizations seeking advanced search features.
SingleStore (also known as SingleStoreDB) is a real-time data platform offering integrated vector search capabilities for building intelligent applications with high-throughput requirements. It is a relational database platform with built-in support for vector search, enabling high-performance similarity queries alongside structured SQL-based analytics.
Vespa.ai is a scalable open-source platform for real-time big data serving and vector search. It supports vector similarity search and is used for applications like retrieval augmented generation and e-commerce search, making it highly relevant for vector database and vector search use cases.
A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.