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.
Up and running in 5 minutes
If you have worked upon Hibernate or any JPA Compliant ORM Solution, then the whole process, right from learning to coming up with first sample implementation will not take more than 5 minutes. Please follow below steps from this link:
- Set up Cassandra server.
- Download and include Kundera Jar
- Write persistence.xml file
- Write Entity class
- Moment of Truth!
Currently Supported Datasources
- Relational databases
09-Dec-2011 - Kundera 2.0.4 released
This release includes bug fixes, performance improvements and the following new features compared to version 2.0.3:
- Cross-datastore persistence.
- Support for relational databases.
- Moved out solandra and replaced with lucene.
08-Aug-2011 - Kundera 2.0.3 released
This release includes bug fixes and the following new features compared to version 2.0.2:
- Cassandra 0.8.x support added
31-July-2011 - Kundera 2.0.2 released
This release includes bug fixes and the following new features compared to version 2.0.1:
- Kundera is now JPA 2.0 compliant.
- Embedded objects/ collections support for HBase.
12-July-2011 - Kundera 2.0.1 released
This release includes bug fixes and the following new features compared to initial revision:
- Cassandra 0.7.x support added
- @Embedded annotation fields persisted co located with parent entity
- Search within embedded objects.
- Selective index.
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.