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.
With 2.9.1 release onwards artifact group id has been changed from
<dependency>
<groupId>com.impetus.client</groupId>
<artifactId>kundera-cassandra</artifactId>
<version>2.9.1</version>
</dependency>
TO
<dependency>
<groupId>com.impetus.kundera.client</groupId>
<artifactId>kundera-cassandra</artifactId>
<version>2.9.1</version>
</dependency>
Note: Above information is to notify regarding change in groupId. In case using HBase or any other supported datastore. You need to simply point to corresponding artifactId.
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!
This release includes bug fixes.
This release includes bug fixes, additional improvements and the following new features :
- Added support for storing ethereum blockchain data in Kundera supported databases. Check wiki.
This release includes bug fixes, additional improvements and the following new features :
- Added support for Couchbase. Check wiki.
- Upgraded Cassandra version to 3.11.0
This release includes bug fixes.
This release includes bug fixes, additional improvements and the following new features :
- Added support for RethinkDB
This release includes bug fixes.
This release includes bug fixes, additional improvements and the following new features :
- MongoDB java driver updated to 3.4
- Parameterized and positional query support in Apache Kudu
This release includes bug fixes, additional improvements and the following new features :
- Kundera-Kudu now supports Kudu 1.2
- IN Query support added in Kundera-Kudu
- Primary key auto generation added in Kundera-Kudu
- Support for nested embeddables in Kundera-Kudu
- Support for composite primary key in Kundera-Kudu
- Secondary indexer support for ES in Kundera-Kudu
This release includes bug fixes, additional improvements and the following new features :
- Kundera-kudu now supports Kudu 1.x
- Support for fetch size in pagination in kundera-cassandra-ds-driver
- Support for LIKE query on rowkey in kundera-hbase-v2
This release includes bug fixes, additional improvements and the following new features :
- Kundera-Cassandra now supports Cassandra 3.7
- Kundera-HBase-v2 has been upgraded for HBase 1.2+
- Primary key auto-generation is added for Kundera-Elasticsearch
- Support for pagination is added to Kundera-Elasticsearch
This release includes bug fixes, additional improvements and the following new features :
- Kundera-Cassandra now supports Cassandra 3.5
- Kundera-Elasticsearch now supports Elasticsearch 2.3
This release includes bug fixes, additional improvements and the following new features :
This release includes bug fixes, additional improvements and the following new features :
- Support for schema generation for relational entities and composite columns added with kundera-oracle-no-sql
- Support for like operator and regex enabled for kundera-hbase
- Redis 3.0 can now be used with kundera-redis
This release includes bug fixes, additional improvements and the following new features :
- Support for Cassandra-2.2 enabled
- Support for Oracle NoSQL 3.2.5 enabled along with schema generation.
This release includes bug fixes, additional improvements and the following new features :
- Querying via Apache Spark support enabled for Teradata and Hive
- Querying via Apache Spark using Kundera currently works for Cassandra, MongoDB, HDFS, Hive ,Teradata and CSV. This support is enabled using Spark 1.4.0 version.
This release includes bug fixes, additional improvements and the following new features :
- Apache Spark support enabled with Kundera
- Spark support with Kundera currently works for Cassandra, MongoDB, HDFS and CSV. This support is enabled with Spark 1.4.0 version.
This release includes bug fixes, additional improvements and the following new features :
- GridFS support added with MongoDB
- Added group by and having clause in querying support with using elastic search that can be used with other clients by using elastic search as indexer.
This release includes bug fixes, additional improvements and the following new features :
- Hbase data remodeling with support for HBase-1.0 version. ( Support for Hbase version 1.0 with the revised data model is available with Kundera's "kundera-hbase-v2" dependency.)
This release includes bug fixes, additional improvements and the following new features compared to version 2.15:
- Support added for Cassandra-2.1.x version.
- Support for Cassandra User Defined Types as embeddables.
- Aggregation support available with elastic search is also enabled in Kundera (Support for aggregate functions is also extended for other Kundera clients' by using Elastic search as indexing store.)
This release includes bug fixes, additional improvements and the following new features compared to version 2.14:
- Support added for Redis-2.8.x version.
- Support added for MongoDB-2.6.x version.
- Support added for Elastic-search 1.4.2 version.
This release includes bug fixes, additional improvements and the following new features compared to version 2.13:
- Or clause and in query support enabled for Hbase
This release includes bug fixes, additional improvements and the following new features compared to version 2.12:
- Support added for Hbase-0.96
- Support for composite keys over Lucene and Hbase enabled
This release includes bug fixes, additional improvements and the following new features compared to version 2.12:
- Support added for Oracle-KV 3.0.5
- Support for JPA-2.1 enabled
This release includes bug fixes, performance improvements and the following new features compared to version 2.10:
- Support added for Cassandra datastax java driver
- Support added for in clause with setParameter for collection object
This release includes bug fixes, performance improvements and the following new features compared to version 2.9:
- Support added for bean validation.
This release includes bug fixes, performance improvements and the following new features compared to version 2.8:
- Support for Secondary table.
- Support Abstract entity.
This release includes bug fixes, performance improvements and the following new features compared to version 2.7:
- Support for couchdb as a datastore.
- Support for MappedSuperclass and JPA Inheritence strategy.
This release includes bug fixes, performance improvements and the following new features compared to version 2.6:
- Support for pagination over Mongodb.
- Added elastic search as datastore and fallback indexing mechanism.
This release includes bug fixes, performance improvements and the following new features compared to version 2.5:
- Lazy fetching of relationships.
- Multiple node support for Cassandra.
- Pagination support for Cassandra and HBase
This release includes bug fixes, performance improvements and the following new features compared to version 2.4:
-
Support for OracleNoSQL [Please use the Oracle NoSQL jars from the Oracle NoSQL distribution at: http://download.oracle.com/otn-pub/otn_software/nosql-database/kv-ce-2.0.26.zip. For the convenience of those who want to build Kundera from source we have additionally placed the jars at http://kundera.googlecode.com/svn/maven2/maven-missing-resources/]
-
CQL 3.0 interoperability with thrift
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
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 .
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
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)
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.
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.
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.
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.
This release includes bug fixes and the following new features compared to version 2.0.2:
- Cassandra 0.8.x support added
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.
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.