Voldemort is a distributed key-value storage system. Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data. 
Server failure is handled transparently. It is used at LinkedIn for certain high-scalability storage problems where simple functional partitioning is not sufficient.

Project-voldemort - A distributed database, Clone of Amazon's Dynamo

The Apache Accumulo sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system. Apache Accumulo is based on Google's BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift. Apache Accumulo features a few novel improvements on the BigTable design in the form of cell-based access control and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.

Apache Accumulo - Key Value Store based on Google BigTable

Apache Geode  is distributed, in-memory database for scale-out applications. All data is stored in-memory for low latency. Performance scales linearly as nodes are added. Data is distributed automatically between nodes to optimize performance. Clusters fail-over to other nodes in case of failures, and rebalance remaining resources. Geode servers can be configured to talk memcached protocol. 

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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Project-voldemort - A distributed database, Clone of Amazon's Dynamo

Apache Accumulo - Key Value Store based on Google BigTable

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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Projects

Project-voldemort - A distributed database, Clone of Amazon's Dynamo

Apache Accumulo - Key Value Store based on Google BigTable

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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