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Qdrant Testimonials

  • “Using Qdrant as a vector database for our quality control allowed us to review 10x more data by exploiting repetitions and deduplicating samples and doing that at scale with having a query engine.”

  • “Qdrant’s ability to handle large-scale models and the flexibility it offers in terms of data management has been crucial for us. The observability features, such as historical graphs of RAM, Disk, and CPU, provided by Qdrant are also particularly useful, allowing us to plan our scaling strategy effectively.”

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  • Pinecone
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    4.8 / 5.0
    Customer References 53 total
    About

    Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and …

  • Weaviate
    Reference Rating
    4.8 / 5.0
    Customer References 48 total
    About

    Weaviate is a cloud-native, real-time vector database that allows you to bring your machine-learning models to scale. There are extensions for specific use cases, such as semantic search, plugins to …

  • OmniSci
    Reference Rating
    4.8 / 5.0
    Customer References 32 total
    About

    OmniSci (formerly MapD) is the creator of the extreme analytics platform, used in business and government to find insights in big data beyond the limits of mainstream analytics tools. The …

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