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Interesting article posted here. I've listed some of the most popular below. To find out about those not listed here (Redis, REVENDB, Riak, Perst, Voldemort, Terrastore, NeoDatis, MyOODB, OrientDB, InfoGrid, DB4objects), read the original article.

Source for picture: 21 NoSQL databases (must read)

Open Source NoSQL Databases

  • MongoDB - This highly scalable and agile NoSQL database is a amazing performing system. This open source database written in C++ comes with a storage that is document oriented. Also, you will be provided with benefits like full index support, high availability across WANs and LANs along with easy replication, horizontal scaling, rich queries that are document based, flexibility in data processing and aggregation along with proper training, support and consultation.
  • Couch DB - Couch DB Couch DB is a Apache project and a really powerful database for JSON based web applications. This database provides really powerful API to store JSON objects as documents in the database. You can use JavaScript to run MapReduce Queries on CouchDB. It also provides a very convenient web based administration console. This database could be really handy for web applications.
  • MemcacheDB - This is a distributed storage system of key value. It should not be confused with a cache solution; rather, it is a persistent storage engine which is meant for data storage and retrieval in a fast and reliable manner. Confirmation to memcache protocol is provided for. The storing backend that is used is the Berkeley DB which supports features like replication and transaction.
  • Neo4j - This is a NoSQL graph database which exhibits a high level of performance. It comes well equipped with all the features of a robust and mature system. It provides the programmers with a flexible and object oriented network structure and allows them to enjoy all the benefits of a database that is fully transactional. Compared to RDBMS, Neo4j will also provide you with performance improvements on some of the applications.
  • HBASE - HBase can be easily considered as a scalable, distributed and a big data store. This database can be used when you are looking for real time and random access to your data. It comes with modular and linear scalability along with reads and writes that are strictly consistent. Other features include Java API that has an easy client access, table sharding that is configurable and automatic, Bloom filters and block caches and much more.
  • HyperGraphDB - This is an open source data storage system that is extensible, distributed, general purpose, portable and embeddable. Basically this is a graph database which is mostly meant for AI, Semantic web projects and knowledge representation; it can also handle Java projects of different sizes.
  • Cassandra - Cassandra In case you are looking for high availability and scalability without compromising on performance, then Cassandra database is the thing for you. It is a perfect data platform characterized by fault tolerance and linear scalability along with best in class replication support.

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