Membase is an distributed, key-value database management system optimized for storing data behind interactive web applications. These applications must service many concurrent users, creating, storing, retrieving, aggregating, manipulating and presenting data in real-time. Supporting these requirements, membase processes data operations with quasi-deterministic low latency and high sustained throughput. For those familiar with memcached, membase provides on-the-wire protocol compatibility, but adds disk persistence; hierarchical storage management; data replication; live cluster reconfiguration and rebalancing; and secure multi-tenancy with data partitioning. Membase scales elastically, with linear cost. Servers can be added to, or removed from, a running cluster with no application downtime.

Membase is an distributed, key-value database management system optimized for storing data behind interactive web applications. These applications must service many concurrent users, creating, storing, retrieving, aggregating, manipulating and presenting data in real-time. Supporting these requirements, membase processes data operations with quasi-deterministic low latency and high sustained throughput.

membase - distributed key-value database

ForestDB is a key-value storage engine developed by Couchbase Caching and Storage Team, and its main index structure is built from Hierarchical B+-Tree based Trie, called HB+-Trie. ForestDB paper has been published in IEEE Transactions on Computers.
 
Compared with traditional B+-Tree based storage engines, ForestDB shows significantly better read and write performance with less storage overhead. ForestDB has been tested on various server OS environments (Centos, Ubuntu, Mac OS x, Windows) and mobile OSs (iOS, Android). The test coverage stats for ForestDB are available in ForestDB Code Coverage Report.

ForestDB is a key-value storage engine developed by Couchbase Caching and Storage Team, and its main index structure is built from Hierarchical B+-Tree based Trie, called HB+-Trie. ForestDB paper has been published in IEEE Transactions on Computers.

ForestDB - A Fast Key-Value Storage Engine Based on Hierarchical B+-Tree Trie

Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that operations on bytes arrays take place, therefore entries (de)serialization in front of the cache will be needed in most use cases. 

bigcache - Efficient cache for gigabytes of data written in Go.

MapDB is an embedded database engine. It provides Maps and other collections backed by disk or memory storage. It offers excellent performance comparable to java collections, but is not limited by GC overhead. It is also a full database engine with storage backends, transactions, cache algorithms, expiration and many other options. MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory. 

MapDB - Embedded Database Engine

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membase - distributed key-value database

ForestDB - A Fast Key-Value Storage Engine Based on Hierarchical B+-Tree Trie

bigcache - Efficient cache for gigabytes of data written in Go.

MapDB - Embedded Database Engine

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membase - distributed key-value database

ForestDB - A Fast Key-Value Storage Engine Based on Hierarchical B+-Tree Trie

bigcache - Efficient cache for gigabytes of data written in Go.

MapDB - Embedded Database Engine

TechStack

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