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Faiss by Meta vs. Microsoft SQL Server

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Faiss by Meta

    N/AN/AFaiss (for Facebook AI Similarity Search) is a library for similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. It is free and…

    $0

    Microsoft SQL Server

    Score8.8 out of 10
    N/AMicrosoft SQL Server is a relational database.

    $1,418

    Per License

    Pricing
    Faiss by MetaMicrosoft SQL Server
    Editions & Modules
    No answers on this topic
    Subscription
    $1,418.00
    Per License
    Enterprise
    $13,748.00
    Per License
    Offerings
    Pricing Offerings
    Faiss by MetaMicrosoft SQL Server
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    User Ratings
    Faiss by MetaMicrosoft SQL Server
    Likelihood to Recommend
    -
    (0 ratings)
    7.9
    (99 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (6 ratings)
    Usability
    -
    (0 ratings)
    7.2
    (13 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    7.9
    (25 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (5 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (1 ratings)