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
Please Note: trunk is current development branch. 2.4 is released tag.
08-Mar-2013 - Kundera 2.4 released
This release includes bug fixes, performance improvements and the following new features compared to version 2.3:
- Support for Neo4j graph database
- Primary key auto-generation
- Support for JoinByPrimaryKey relationship
- Custom Secondary indexing hooks
- Hadoop 0.94.3 migration
24-Jan-2013 - Kundera 2.3 released
This release includes bug fixes, performance improvements and the following new features compared to version 2.2:
- Redis Support
- Cassandra 1.2 migration.
- HBase schema handling changes
- Stronger query support, like selective column/id search via JPQL.
- Enabled support for @Transient for embedded columns and mapped super class.
- Record limit setting on search for mongodb .
08-Nov-2012 - Kundera 2.2 released
This release includes bug fixes, performance improvements and the following new features compared to version 2.1:
- Geospatial Persistence and Queries for MongoDB
- Composite keys support for Cassandra and MongoDB
- Cassandra 1.1.6 migration
- Support for enum data type
- Named and Native queries support for REST based access
21-Sep-2012 - Kundera 2.1 released
This release includes bug fixes, performance improvements and the following new features compared to version 2.0.7:
- CQL Version configuration
- Batch insert/update for Cassandra/MongoDB/HBase
- JPA MetaModel and TypedQuery implementation
- Raw thrift client support for Cassandra
- Datastore specific XML configuration. (.properties file deprecated)
- Stronger query support:
- JPQL support over all data types and associations
- JPQL support to query using primary key alongwith other columns
- JPA compliance
- EntityManager methods implementation (contains, refresh, detach, setProperty)
- EntityManagerFactory methods (getPersistenceUnitUtil)
- Persistence methods (getProviderUtil)
25-July-2012 - Kundera 2.0.7 released
This release includes bug fixes, performance improvements and the following new features compared to version 2.0.6:
- HBase 0.92.1 migration
- Hadoop 1.0.2 migration
- Cassandra 1.1.2 migration
- MongoDB 2.0.4 migration
- JPA EntityTransaction commit and rollback
- JTA Transactions integration over web server
- Kundera-REST API
- Support for Counter column in cassandra
- Inverted wide-row indexing support for Cassandra
- Login Authentication support for Cassandra and MongoDB
- Filters and filters list for HBase
- Deprecated Lucene based indexing for HBase.
- Datastore specific configuration files for specifying:
- Replication factor
- Placement strategy
- Consistency level per operation.
- Counter column family configuration
- Inverted indexing switch
- Zookeeper host and port
- Hbase column family configurations
- MongoDB servers list, read preference and socket timeout. ...etc.
20-Apr-2012 - Kundera 2.0.6 released
This release includes bug fixes and the following new features compared to version 2.0.5:
- HBase 0.90.x migration.
- Enhanced Persistence Context.
- Named and Native queries support (including CQL support for cassandra)
- UPDATE and DELETE queries support.
- DDL auto-schema creation.
- Performance improvements.
06-Feb-2012 - Kundera 2.0.5 released
This release includes bug fixes and the following new features compared to version 2.0.4:
- Cassandra 1.x migration.
- Support for Many-to-Many relationship (via Join table)
- Transitive persistence.
- Datastore native secondary index support in addition to Lucene based indexing. An optional switch provided to change between two.
- Query support for >, < , >=,<=,!=, like, order by, like, logical operators and between.
- Connection pooling settings provided for all datastores.
- Support for all data types as required by JPA.
- Range queries for cassandra (via between clause in JPA-QL)
- Bug fixes related to self join.
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.
The public CI instance is available at https://impetus-opensource.ci.cloudbees.com/job/kundera-github/
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.