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.

ObjectBox - Super fast database for Mobile and IoT

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. It is massively scalable to handle graphs of several billion nodes on a single machine. It has a powerful traversal framework for high-speed traversals in the node space. It can be deployed as a full server or a very slim database embedded database. 
Neo4j's high-performance distributed cluster architecture scales with your data needs, minimizing cost and hardware while maximizing performance across connected datasets. Neo4j enforces rigorous enterprise security rules while remaining easy to deploy and manage. Protections like “row-level” security in relational databases are not enough when using graphs. Organizations need fine-grained access control for mission-critical security and privacy.

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.

Neo4j - Graph Database

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. 

 A P2P framework for distributed processing has been implemented for replication/data partitioning algorithms as well as client-server style computing. While it falls into the general family of graph databases, it is hard to categorize HyperGraphDB as yet another database because much of its design evolves around providing the means to manage structure-rich information with arbitrary layers of complexity. 

 Source code location: <A HREF="http://code.google.com/p/hypergraphdb" target="_blank">http://code.google.com/p/hypergraphdb</A>

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.

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs

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. 
 Its major feature include: 
 <UL>
	<LI>Java stored procedures and functions</LI>
	<LI>Java triggers</LI>
	<LI>Extensive JDBC interface support </LI>
	<LI>Persistence</LI>
	<LI>Embedded (into Java applications) and Client-Server operating modes</LI>
	<LI>Multiple databases per JVM </LI>
	<LI>ODBC support</LI>
	<LI>simple GUI database management tools</LI>
 </UL>
 Commercial support is available.

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.

HyperSQL - Java Database

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.

Apache Derby - Relational Database implemented in Java

H2 database is very fast, open source database engine. 
 It supports : 
 <UL>
	<LI>It supports SQL and JDBC standards</LI>
	<LI>Encrypted database</LI> 
	<LI>Security and Authentication</LI>
	<LI>Multiple index types (b-tree, tree, hash)</LI> 
	<LI>Contains a recovery tool that can dump the contents of the database</LI> 
	<LI>Clustering</LI>
	<LI>Full text search</LI>
	<LI>Temporary Tables</LI> 
	<LI>User-Defined Datatypes</LI>
 </UL>

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.  


H2 Database - Java based 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

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ObjectBox - Super fast database for Mobile and IoT

Neo4j - Graph Database

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs

HyperSQL - Java Database

Apache Derby - Relational Database implemented in Java

H2 Database - Java based Database Engine

MapDB - Embedded Database Engine

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ObjectBox - Super fast database for Mobile and IoT

Neo4j - Graph Database

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs

HyperSQL - Java Database

Apache Derby - Relational Database implemented in Java

H2 Database - Java based Database Engine

MapDB - Embedded Database Engine

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