Showing 4 open source projects for "odmg"

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    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
  • SKUDONET Open Source Load Balancer Icon
    SKUDONET Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
  • 1
    SGBD OO GesDatos desarrollado en Java 5, ODMG 3, arquitectura Cliente/Servidor, Persistencia, Transaccionalidad, Encripcion, Autenticacion, Backup, Recuperacion, OQL y ODL. Desarrollado por el Grupo GESDATOS, U Distriral Francisco Jose De Caldas.
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  • 2
    GOD's an Object Database conforming to ODMG standard (C++ binding)
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  • 3
    Orient is 100% Pure ODBMS. It works with classes and objects instead of tables and records. Orient supports C++ language using ODMG 3.0 interface and Java using JDO 1.0. It's available as Just Edition, a small library, or as Enterprise Edition with dis
    Downloads: 0 This Week
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  • 4
    Bridging Objects and Relational Databases. Transparent persistence for Java Objects against RDBMS. Provides ODMG 3.0 and JDO 1.0 compliant API.
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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