BadgerDB is an embeddable, persistent, simple and fast key-value (KV) store, written purely in Go. It's meant to be a performant alternative to non Go based key-value stores like RocksDB. It is written out of frustration with existing KV stores which are either written in pure Go and slow, or fast but require usage of Cgo. Badger aims to provide an equal or better speed compared to industry leading KV stores (like RocksDB), while maintaining the entire code base in pure Go.

BadgerDB - Fast key-value store in Go.

OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines. 
 Source code location: <A HREF="http://code.google.com/p/orient/" target="_blank">http://code.google.com/p/orient/</A>

OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines.

OrientDB - The NoSQL Graph-Document DBMS

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using API language binding.
 
FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. It provides amazing performance on commodity hardware, allowing you to support very heavy loads at low cost.

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using API language binding. 

FoundationDB - Distributed, Transactional Key-value store

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

ArangoDB is a multi-purpose open-source database with flexible data model for documents, graphs, and key-values. Build high performance application using a convenient sql-like query language or JavaScript/Ruby extensions. Its key features are  Schema-free, Convenient querying using AQL, Extendable through JS, Space efficiency, Supports modern storage hardware, like SSD and large caches and lot more.

ArangoDB - The Multi-purpose NoSQL DB

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

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.
 
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

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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