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Berkeley DB - Embeddable Databases to Meet Your Needs

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.

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

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.

BangDB - NoSQL for Real Time Performance

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.

UnQLite - An Embeddable NoSQL Database Engine

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 as well a standard Key/Value store. 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.

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

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.

Vedis - An Embedded Implementation of Redis

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.

MapDB - Embedded 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.