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Showing 4 open source projects for "java-orm"

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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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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
    DuroDBMS

    DuroDBMS

    Relational Database Management System

    A relational database management system, based on the principles laid down in the book "Databases, Types, and The Relational Model: The Third Manifesto" by C. J. Date and Hugh Darwen.
    Downloads: 0 This Week
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  • 2
    Sedna Native XML Database

    Sedna Native XML Database

    Sedna is a native full-featured XML database management system.

    Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language.
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    Downloads: 0 This Week
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  • 3

    DBIO

    OLTP Database I/O Simulation Tool

    DBIO is a tool to simulate Online Transaction Processing Database, which can be used to model production envirment for I/O test. A standard configuration file contained in the software simulates TPCC-Like I/O workload, which is modeled from DB2 Database running TPCC-Like workload. DBIO can also do data consistency check after the I/O workload test.
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  • 4
    picoSQL is an Italian multi-user relational database management system with transactions support. Because it derives from a commercial project, it is already robust, fast, and rather complete.
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  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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