Open Source Java Database Software

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Browse free open source Java Database Software and projects below. Use the toggles on the left to filter open source Java Database Software by OS, license, language, programming language, and project status.

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  • 1
    Firebird

    Firebird

    A powerful, cross platform, SQL database system

    Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language. More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues
    Leader badge
    90 Reviews
    Downloads: 3,120 This Week
    Last Update:
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  • 2
    OdbcServer+JdbcClient

    OdbcServer+JdbcClient

    Odbc/OLEDB network server with the jdbc java driver

    With OdbcServer+JdbcClient you can access your Windows Odbc Data Sources from the network using Java on your favorite OS. It's a couple of software: - An Odbc server that shares the Odbc data sources (or Ole Db Providers) - A Jdbc driver that can connect to the odbc server and use its shared databases;
    Downloads: 0 This Week
    Last Update:
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  • 3
    This project is an customised, highly evolved open source L2J server emulation software. Main source bases mostly on L2JOfficial project files. Project is written in Java, Python, XML, HTML, SQL and so on. //// and is not available to all anymore. ho
    Downloads: 0 This Week
    Last Update:
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  • 4
    UMDS is small, strong and expansible project. The model offers a uniform method of conceptual view of the diverse data as a sequence of bits and a uniform method of keeping and processing this sequence on the external storage.
    Downloads: 0 This Week
    Last Update:
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  • MongoDB Atlas | Run databases anywhere Icon
    MongoDB Atlas | Run databases anywhere

    Ensure the availability of your data with coverage across AWS, Azure, and GCP on MongoDB Atlas—the multi-cloud database for every enterprise.

    MongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
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