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• Kundera now supports Apache Kudu. Check Kundera with Kudu for more details.
• Want to step out of JPA world and still take advantage of Kundera? Check Kundera Data as Object.
• Want to save your large files in MongoDB GridFS in the same JPA way. Check GridFS support in Kundera.
• Perform SQL queries over big data using Kundera with Apache Spark as the query engine. Check Kundera with Spark for more details.
• We are active on stackoverflow.com. Ask questions & check existing Kundera Tagged Questions on stackoverflow.

Kundera currently supports following data stores :

• Cassandra
• MongoDB
• HBase
• Redis
• OracleNoSQL
• Neo4j
• Couchdb
• Kudu
• Relational databases
• Apache Spark

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

The latest stable release of Kundera is 3.8. 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>

• 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 !

• [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)
  • [Aggregation over NoSQL] (https://github.com/impetus-opensource/Kundera/wiki/How-to-perform-aggregation-over-data-stored-in-NoSQL%3F)
• 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)
  • [Kundera with Spark] (https://github.com/impetus-opensource/Kundera/wiki/Kundera-with-Spark)
• [Kundera Tagged Questions on stackoverflow.com] (http://stackoverflow.com/questions/tagged/kundera)
• [Releases] (https://github.com/impetus-opensource/Kundera/blob/trunk/src/README.md)

• Common Issues and Troubleshooting

• kundera-mongodb-kudu-example.zip (MongoDB - Kudu polyglot)
• kundera-cassandra-example.zip
• kundera-mongodb-example.zip
• kundera-hbase-example.zip

• Contribution Ideas
• Contribution Guidelines

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.

Follow us on [Twitter] (https://twitter.com/kundera_impetus).