Compare the Top Vector Databases as of November 2025

What are Vector Databases?

Vector databases are a type of database that use vector-based data structures, rather than the traditional relational models, to store information. They are used in artificial intelligence (AI) applications such as machine learning, natural language processing and image recognition. Vector databases support fast and efficient data storage and retrieval processes, making them an ideal choice for AI use cases. They also enable the integration of structured and unstructured datasets into a single system, offering enhanced scalability for complex projects. Compare and read user reviews of the best Vector Databases currently available using the table below. This list is updated regularly.

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    Cloudflare

    Cloudflare

    Cloudflare

    Cloudflare Vectorize is a high-speed, globally distributed vector database built to power modern AI applications like search, recommendation, and Retrieval Augmented Generation (RAG). It enables developers to store and query embeddings — representations of text, images, and other data — with lightning-fast performance at the edge. Vectorize integrates natively with Cloudflare’s AI developer stack, including Workers AI and AI Gateway, providing a unified environment for AI inference, monitoring, and scalability. Designed for low latency and cost efficiency, Vectorize automatically optimizes and scales vector storage as data and traffic grow. Its global deployment ensures proximity to users and ML runtimes, enhancing both performance and reliability. With Vectorize, developers can build and deploy full-stack AI solutions faster and more affordably than ever.
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  • 2
    Couchbase

    Couchbase

    Couchbase

    Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.
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    Azure Managed Redis
    Azure Managed Redis features the latest Redis innovations, industry-leading availability, and a cost-effective Total Cost of Ownership (TCO) designed for the hyperscale cloud. Azure Managed Redis delivers these capabilities on a trusted cloud platform, empowering businesses to scale and optimize their generative AI applications seamlessly. Azure Managed Redis brings the latest Redis innovations to support high-performance, scalable AI applications. With features like in-memory data storage, vector similarity search, and real-time processing, it enables developers to handle large datasets efficiently, accelerate machine learning, and build faster AI solutions. Its interoperability with Azure OpenAI Service enables AI workloads to be faster, scalable, and ready for mission-critical use cases, making it an ideal choice for building modern, intelligent applications.
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