• Home
  • Categories
  • Tags
  • Pricing
  • Submit
    Decorative pattern
    1. Home
    2. Vector Database Engines
    3. ClickHouse

    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.

    🌐Visit Website

    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

    Surveys

    Loading more......

    Information

    Websiteclickhouse.com
    PublishedMay 13, 2025

    Categories

    1 Item
    Vector Database Engines

    Tags

    4 Items
    #Open Source#Analytics#Vector Search#Real Time

    Similar Products

    6 result(s)
    LanceDB

    LanceDB is a columnar vector database optimized for real-time AI use cases and analytics workloads, providing efficient vector storage and fast similarity search.

    citrus

    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.

    Cottontail DB

    Cottontail DB is an open-source vector database for storing and searching high-dimensional data, with features geared towards research and production environments.

    ChromaDB

    ChromaDB (also known as Chroma or chroma-core) is an open-source vector database focused on LLM applications, emphasizing simplicity and in-memory HNSW-based dense vector search. It is suited for prototyping, metadata filtering, and offers a user-friendly interface for building and testing vector search applications, though it currently lacks hybrid and distributed features.

    Deep Lake

    Deep Lake is a vector database designed as a data lake for AI, capable of storing and managing vector embeddings, text, images, and videos. It utilizes a tensor format for efficient querying and integration with AI algorithms, making it suitable for similarity search and machine learning workflows. It is open-source and tailored for handling unstructured and multimodal data, with seamless integration with frameworks like PyTorch and TensorFlow.

    Elasticsearch

    Elasticsearch is a distributed search engine supporting various data types, including vectors, and provides scalable vector search capabilities, making it a popular choice for modern AI-powered applications. It can be extended with the k-NN plugin to provide scalable vector search using HNSW and Lucene, enabling hybrid semantic and keyword search capabilities.

    Decorative pattern
    Built with
    Ever Works
    Ever Works

    Connect with us

    Stay Updated

    Get the latest updates and exclusive content delivered to your inbox.

    Product

    • Categories
    • Tags
    • Pricing
    • Help

    Clients

    • Sign In
    • Register
    • Forgot password?

    Company

    • About Us
    • Admin
    • Sitemap

    Resources

    • Blog
    • Submit
    • API Documentation
    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
    Copyright © 2025 Awesome Vector Databases. All rights reserved.·Terms of Service·Privacy Policy·Cookies