Displaying 1 to 20 from 45 results

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs

  •    Java

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for Knowledge management, Artificial Intelligence and Semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. It could also be used as graph database or as (non-SQL) relational database.

Berkeley DB - Embeddable Databases to Meet Your Needs

  •    C

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.

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

  •    C++

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.

ObjectBox - Super fast database for Mobile and IoT

  •    Java

ObjectBox is a superfast object-oriented database with strong relation support. ObjectBox is embedded into your Android, Linux, macOS, or Windows app. ObjectBox is a mobile database built for objects from ground up (no ORM, no SQLite). The concise API is easy to learn and just takes a fraction of the code you need to work with SQLite. ACID properties and Multiversion Concurrency Control (MVCC) provide you with safe transactions and parallelism.




Neo4j - Graph Database

  •    Java

Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.

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

  •    C++

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.

STSdb - Embedded .NET Database

  •    CSharp

STSdb is an embedded object database system (NoSQL key/value pair storage engine) designed for mission critical and real-time applications. It provides intuitive use and blazing performance. It has transaction support, Snapshots, LINQ, Custom compression and lot more. STSdb is implemented and inter-operate on Windows, Linux, BSD, UNIX, Mac OS X under the Mono platform.

H2 Database - Java based Database Engine

  •    Java

H2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.


HyperSQL - Java Database

  •    Java

HyperSQL supports the widest range of SQL Standard features seen in any open source database engine. It offers a small, fast database engine which offers in-memory and disk-based tables and supports embedded and server modes. It is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2008. It alsi supports transaction isolation, multiversion concurrency and ACID, Java stored procedures, Scalability and lot more.

Sqlite - SQL database engine

  •    C

SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. It is faster than popular client/server database engines.

Apache Derby - Relational Database implemented in Java

  •    Java

Apache Derby is an open source relational database implemented entirely in Java. It has a small footprint that makes it easy to embed in any Java-based application, but it also supports the more familiar client/server mode. It is based on the Java, JDBC, and SQL standards, making code developed more portable to standards-compliant databases.

UnQLite - Transactional Embedded NoSQL Database Engine

  •    C

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.

NeDB - Embedded datastore for node.js

  •    Javascript

NeDB is an Embedded persistent or in memory database for Node.js, nw.js, Electron and browsers, It is 100% JavaScript, no binary dependency, its API is a subset of MongoDB. One datastore of NeDB is equivalent to a MongoDB collection.

Dqlite - High-availability SQLite

  •    C

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint.

MapDB - Embedded Database Engine

  •    Java

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.

lowdb - Small local JSON database powered by Lodash (supports Node, Electron and the browser)

  •    Javascript

lowdb is a small local JSON database powered by Lodash (supports Node, Electron and the browser). It supports atomic write, Query and modify data using plain JS, Change storage, file format (JSON, YAML, ...) or add encryption via adapters.

WhiteDB - NoSQL Memory Database in C

  •    C

WhiteDB is a lightweight NoSQL database library written in C, operating fully in main memory. There is no server process. Data is read and written directly from/to shared memory, no sockets are used between WhiteDB and the application program. It supports indexes (T-tree), concurrency through locking, persistence through logging and memory dumps, json, CSV and RDF support, easy to use in embedded systems and lot more.

Metakit - embedded database library with small footprint

  •    C++

Metakit is an embedded database library with a small footprint. It fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution

LMDB - Lightning Memory-mapped Database

  •    C

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.

Vedis - An Embedded Implementation of Redis

  •    C

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.






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