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  • Home > Scripts > Database Tools

    Apache Derby 10.8.2.2

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    Apache Software Foundation | More scripts
    db.apache.org
    Apache License 

    Windows / Linux / Mac OS / BSD / Solaris
    N/A
    Java
    October 31st, 2011, 14:18 GMT [view history]
    C: \ Database Tools

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    Apache Derby description

    This is a pure Java relational database engine using standard SQL and JDBC as its APIs

    The project's documentation is included in the binary release.

    This is an open source relational database implemented entirely in Java.

    It has a small footprint that makes it easy to embed in any Java-based application, but it also supports the more familiar client/server mode.

    It is based on the Java, JDBC, and SQL standards, making code developed more portable to standards-compliant databases.

    Here are some key features of "Apache Derby":

    · Embedded engine with JDBC drivers
    · Network Server
    · Network client JDBC drivers
    · Command line tools: ij (SQL scripting), dblook (schema dump) and sysinfo (system info)
    · A small footprint -- about 2 megabytes for the base engine and embedded JDBC driver.
    · Is based on the Java, JDBC, and SQL standards.
    · Derby provides an embedded JDBC driver that lets you embed Derby in any Java-based solution.
    · It supports the more familiar client/server mode with the Derby Network Client JDBC driver and Derby Network Server.
    · Easy to install, deploy, and use.

    Requirements:

    · Branch 10.5 or higher
    · Machine
    · Apache Ant 1.7.1 or higher
    · J2ME/JSR 169
    · JDK 1.4 or higher
    · Java 5 or 6
    · Compiler

    What's New in This Release: [ read full changelog ]

    · JDBC 4.1 - Derby's JDBC drivers support the new Java 7 methods on the java.sql and javax.sql interfaces.
    · Automatic calculation of index statistics - Derby automatically refreshes statistics
    · to help it pick better query plans.
    · Improved interrupt handling - Interrupting connection threads no longer crashes the Derby engine.
    · MAX optimization - On indexed tables, MAX queries run faster in more cases.
    · XML operator portability - The xmlparse and xmlserialize operators work out-of-the-box on more platforms.



    TAGS:

    relational database | storage environment | Java database | relational | database | storage



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