Showing 4 open source projects for "ml"

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  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

    Easily migrate from Snowflake, Redshift, or Databricks with free tools.

    BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    BlobCity

    BlobCity

    A blazing fast ACID compliant NoSQL DataLake

    BlobCity DB is an AI-optimized, NoSQL database designed for high-performance analytics and machine learning workloads. It combines structured and unstructured data storage, offering fast query execution and seamless integration with AI frameworks. It is built to handle large-scale datasets efficiently.
    Downloads: 0 This Week
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  • 2
    From the XML definition of your database, DewDrop will generate clean and human-readable SQL DDL code for any supported target database. This means you can define your database just once in XML, and have it work for any database automatically.
    Downloads: 1 This Week
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  • 3
    Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
    Downloads: 0 This Week
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  • 4
    Append hundreds of different XML files into one large data document, validate, and attach a stylesheet. Stitcher is a porwerful summary reporting tool. Allows for complex file storage locations of xml data. UBL, HR-ML, LandXML ... visit stitcher.org.
    Downloads: 0 This Week
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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