Lightweight & Efficient Embedded NoSQL Database
Onyx Database is flexible enough to use as a high performance off-heap in-memory data store, embedded persistent store, or heavy throughput remote database. You can use it for small caches or terabyte-sized object graphs.
Rich Feature Set Data modeling, Indexing, Partitioning, In-Memory, Cache, Lazy Loading, Etc.
All of the features that are included with the remote database are packed into a lightweight java library that allows you to embed within any Java application. Even advanced features such as data streaming used for analytics, partitioning, and off-heap cache, or in-memory store are available within a single embeddable jar.
NoSQL Embedded Performance Compare Onyx, H2, Derby, and HSQL
Onyx Embedded Database maintains its superiority as the fastest Java embedded database and a league of its own as an embedded NoSQL database.
Onyx data model allows for adding new entities, modifying entities, and modifying your object graph on the fly to allow an application to evolve. Take advantage of its lightweight migrations which make it ideal to use in an embedded application in order to reduce or eliminate database management from version to version.
To start using Onyx Database as a flexible database solution all you have to all you have to do is add onyx-database.jar to your classpath libs folder or as a dependency using Maven Central, then create an entity class using Onyx Database Annotations.
