nglx / Kundera

A JPA 2.0 compliant Object-Datastore Mapping Library for NoSQL Datastores. Please subscribe to:

Overview

Kundera is a "Polyglot Object Mapper" with a JPA interface. The idea behind Kundera is to make working with NoSQL Databases drop-dead simple and fun. Kundera is being developed with following objectives:

• To make working with NoSQL as simple as working with SQL
• To serve as JPA Compliant mapping solution for NoSQL Datastores.
• To help developers, forget the complexity of NoSQL stores and focus on Domain Model.
• To make switching across data-stores as easy as changing a configuration.

Supported Datastores

Kundera currently supports following data stores :

• Cassandra
• MongoDB
• HBase
• Redis
• OracleNoSQL
• Neo4j
• Couchdb
• Relational databases

You can find the list of data stores(specific versions) supported by Kundera [here] (https://github.com/impetus-opensource/Kundera/wiki/Datastores-Supported).

Getting Started

The latest stable release of Kundera is 2.15 . It is a maven based project . You can either download it directly from github and build using following command :

mvn clean install -Dfile src/pom.xml

Or it can be directly added as maven dependency in your project in the following manner :

• Add the following repository to pom.xml :

 <repository>
     <id>sonatype-nexus</id>
     <name>Kundera Public Repository</name>
     <url>https://oss.sonatype.org/content/repositories/releases</url>
    <releases>
        <enabled>true</enabled>
    </releases>
    <snapshots>
        <enabled>false</enabled>
    </snapshots>
 </repository>
 <repository>
     <id>kundera-missing</id>
     <name>Kundera Public Missing Resources Repository</name>
     <url>http://kundera.googlecode.com/svn/maven2/maven-missing-resources</url>
     <releases>
        <enabled>true</enabled>
   </releases>
   <snapshots>
       <enabled>true</enabled>
   </snapshots>
 </repository>

• Add the data store specific Kundera module as a dependency (e.g. Cassandra below) :

  <dependency>
        <groupId>com.impetus.kundera.client</groupId>
        <artifactId>kundera-cassandra</artifactId>
        <version>${kundera.version}</version>
  </dependency>

Build your project with the above changes to your pom.xml and start using Kundera !

Important Links

• [Kundera in 5 minutes] (https://github.com/impetus-opensource/Kundera/wiki/Getting-Started-in-5-minutes)
• [Data Store specific Configurations] (https://github.com/impetus-opensource/Kundera/wiki/Data-store-Specific-Configuration)
• Features :
  • [Polyglot Persistence] (https://github.com/impetus-opensource/Kundera/wiki/Polyglot-Persistence)
  • [JPQL] (https://github.com/impetus-opensource/Kundera/wiki/JPQL) & [Native Query] (https://github.com/impetus-opensource/Kundera/wiki/Native-queries) Support
  • [Schema Generation] (https://github.com/impetus-opensource/Kundera/wiki/Schema-Generation)
  • [Transaction Management] (https://github.com/impetus-opensource/Kundera/wiki/Transaction-Management)
  • [Rest Based Access] (https://github.com/impetus-opensource/Kundera/wiki/REST-Based-Access)
• Tutorials :
  • [Kundera with Openshift] (https://github.com/impetus-opensource/Kundera/wiki/Deploying-Polyglot-(RDBMS---NoSQL)-Applications-on-Openshift)
  • [Kundera with Play Framework] (https://github.com/impetus-opensource/Kundera/wiki/Using-Kundera-with-Play!-Framework)
  • [Kundera with GWT] (https://github.com/impetus-opensource/Kundera/wiki/Using-Kundera-with-GWT)
  • [Kundera with JBoss] (https://github.com/impetus-opensource/Kundera/wiki/Using-Kundera-with-Jboss)
  • [Kundera with Spring] (https://github.com/impetus-opensource/Kundera/wiki/Building-Applications-with-Kundera-and-Spring)
• [Releases] (https://github.com/impetus-opensource/Kundera/blob/trunk/src/README.md)

About Us

Kundera is backed by Impetus Labs - iLabs. iLabs is a R&D consulting division of Impetus Technologies (http://www.impetus.com). iLabs focuses on innovations with next generation technologies and creates practice areas and new products around them. iLabs is actively involved working on High Performance computing technologies, ranging from distributed/parallel computing, Erlang, grid softwares, GPU based software, Hadoop, Hbase, Cassandra, CouchDB and related technologies. iLabs is also working on various other Open Source initiatives.