LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. It supports basic operations like Put(key,value), Get(key), Delete(key). Only a single process (possibly multi-threaded) can access a particular database at a time. 

Leveldb - A fast and lightweight key/value database library by Google.

Oracle Berkeley DB provides the best open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model. At its core is a fast, scalable, transactional database engine with proven reliability and availability. Berkeley DB comes three versions: Berkeley DB, Berkeley DB Java Edition, and Berkeley DB XML.

Berkeley DB - Embeddable Databases to Meet Your Needs

RocksDB is an embeddable persistent key-value store for fast storage.  RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation. It is especially suited for storing data on flash drives. It has multi-threaded compactions, making it specially suitable for storing multiple terabytes of data in a
single database.

RocksDB - A persistent key-value store for fast storage environments

UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.
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UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes directly to ordinary disk files. A complete database with multiple collections, is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures. 


UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.

UnQLite - Transactional Embedded NoSQL Database Engine

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

LMDB is an extraordinarily fast, memory-efficient database developed for the Symas OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases. With only 32KB of object code, LMDB may seem tiny. But it’s the right 32KB. Compact and efficient are two sides of a coin; that’s part of what makes LMDB so powerful.

LMDB - Lightning Memory-mapped Database

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.

Vedis is an embeddable datastore C library built with over 70 commands similar in concept to Redis but without the networking layer since Vedis run in the same process of the host application. Unlike most other datastores, Vedis does not have a separate server process. Vedis reads and writes directly to ordinary disk files. A complete database with multiple collections, is contained in a single disk file. 

Vedis - An Embedded Implementation of Redis

Bangdb is pure vanilla key value nosql data store. The goal of bangdb is to be fast, reliable, robust, scalable and easy to use data store for various data management services required by applications. Bangdb comes in flavors like Embedded In memory, Network, Distributed data grid/ Elastic Cache. The bangdb is highly concurrent and runs parallel operations as much as possible.

BangDB - NoSQL for Real Time Performance

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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