Showing 6 open source projects for "db-populator"

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  • 1
    Moqui Ecosystem
    The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable...
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  • 2
    Marid

    Marid

    Free data acquisition and data visualization cross-platform software

    Marid is a cross-platform data acquisition and visualization software intended to build complex and hierarchical data acquisition systems. The base concepts of its architecture include: * Graphical deploy configuration builders * Powerful Groovy scripting language * Embedded database ( H2 , HSQLDB) to store data * Cross-platform design (write once, run anywhere) * Embedded GUI-configurable binary/ascii device protocol parser/generator * Deploy manager to deploy firmwares to remote...
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  • 3
    UI To the Hadoop HBase Project
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  • 4
    ipmems

    ipmems

    Real-time data acquisition and visualization software

    Cross-platform data acquisition and visualization software with an embedded HTTP-server, binary protocol parsing library, protocol emulation server, remote secure administration server, embedded Groovy scripting facilities and HMI (SCADA) visualization module.
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  • 5
    This project is a java web application developer toolbox. It is among other, a simple and powerful framework which does not require dealing with XML files. It also provides a lot of other features, such as a DB abstraction layer, a nice javadoc doclet, a
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  • 6
    CodaServer is a database that makes building business applications easy. It uses a SQL-like language that lets you describe your workflow and business processes, and uses this information to enforce your business rules and guarantee data integrity.
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