Object-oriented databases store data models created by object-oriented programming language. Programmers can create, modify, and store object datasets within these databases. Object-oriented databases require a query language in order to retrieve the information stored inside. Often used by engineering companies and science laboratories, object-oriented databases can hold more complex data than relational database tools, which require a table to be set with the information. Some may choose to use a object-relational database, which is a combination of object-oriented and a relational database. Other similar types of database solutions that differ from object orientated databases include document database tools, graph database tools, key-value store tools and more. Many object-orientated database software are available at no cost and developers have many free database software options.
To qualify for inclusion in the Object-Oriented Database category, a product must:
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InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to processing a billion equity trades in a day, to managing smart energy grids. Caché is a multi-model (object, relational, key-value) DBMS and application server developed by InterSystems. InterSystems Caché provides several APIs to operate with same data simultaneously: key-value, relational, object, docu
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, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database.