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.
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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

Chronicle Map is a high performance, off-heap, key-value, in memory, persisted data store. It works like a  standard java map yet it automatically distributes data between processes, these processes can be both on the same server or across your network. In other words its a low latency, huge data key value store, which can store terabytes of data locally to your process.

Chronicle Map - High performance, off-heap, key-value, in memory, persisted data store

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

cache2k focuses on providing a well engineered in-memory object cache implementation for Java applications. It has fastest access times, due to non blocking and wait free access of cached values. It is thread safe, with a complete set of atomic operations. It supports automatic expiry and refresh: duration or point in time, variable expiry per entry, delta calculations.

Cache2k –  Lightweight, high performance Java caching 

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

moss provides a simple, fast, persistable, ordered key-val collection implementation as a 100% golang library.moss stands for "memory-oriented sorted segments".

moss - A simple, fast, ordered, persistable, key-val storage library for golang

upscaledb is a fast key-value database which optimizes storage and algorithms for your specific data types. upscaledb can be used to build all functions of a typical SQL database, tailored to the specific needs of your application, and directly linked into your program.
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Its blazingly fast analytical functions and database cursors make it a natural fit to process data whenever a SQL database is not fast enough. A simple and self-documenting API; extensive documentation and a tutorial are provided. APIs for C/C++, Java, Python, .NET (i.e. C#, VB.NET), Erlang/Elixir and PHP are available.

upscaledb is a fast key-value database which optimizes storage and algorithms for your specific data types. upscaledb can be used to build all functions of a typical SQL database, tailored to the specific needs of your application, and directly linked into your program.

upscaledb - A very fast lightweight embedded database engine with a built-in query language.

NoSql, JSON based, Document store database with compiled .net map functions and automatic hybrid bitmap indexing and LINQ query filters

RaptorDB - The Document Store

Sparkey is a simple constant key/value storage library. It is mostly suited for read heavy systems with infrequent large bulk inserts. It includes both a C library for working with sparkey index and log files (libsparkey), and a command line utility for getting info about and reading values from a sparkey index/log (sparkey).

Sparkey - Simple constant key/value storage library, for read-heavy systems with infrequent large bulk inserts.


Caffeine is an awesome Java caching library. It has an impressive performance and a neat Java 8 API. However the API does not play very well with Scala. So this is the thinner wrapper we can came with to make Caffeine easy and idiomatic to use in Scala.

scaffeine - Thin Scala wrapper for Caffeine

CodernityDB is pure python (no 3rd party dependency), fast multi-platform, schema-less, NoSQL database. It has optional support for HTTP server version (CodernityDB-HTTP), and also Python client library (CodernityDB-PyClient) that aims to be 100% compatible with embeded version. It is an advanced key-value database, with multiple key-values indexes in the same engine. It has support for Multiple indexes, Custom storage, Sharding.

CodernityDB - Pure python, NoSQL, Fast Database

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