Object databases are also suited for applications that are not necessarily based on an object model, but use a large number of in-memory indexes that are difficult to store in a relational database.

2. Metadata is essential to working with massive data. Storing all this data isn’t particularly useful if we can’t find it. An early architectural pattern emerged from database applications, where ...

PostgreSQL is an object-relational database system that, according to their website, runs on all major operating systems, including Linux, Unix, OS X, Solaris, Tru64, and Windows.

By grasping these elements, you’ll be empowered to optimize database performance, troubleshoot issues, and make informed design and scaling decisions. Introduction to PostgreSQL. PostgreSQL is an open ...

Get to know the Java persistence standard based on Hibernate and learn how to use JPA to store and manage Java objects in a relational or NoSQL database. Topics Spotlight: AI-ready data centers ...

Unlike some object-oriented and object-relational database systems, db4o does not require you to pass your code through an instrumentation pre- or post-compilation step. Nor must classes whose objects ...

Object-relational mappers are used to address the “impedance mismatch” between object models in programming languages and data models in relational databases. Dapper is a lightweight, ...

Oracle is an object-relational database system (RDBMS) primarily used by large companies to store and retrieve enterprise-wide, mission-critical, transactional data. When working with an Oracle ...

As I noted in an earlier column, JSON is great for moving data around but not so hot when you need to convert it into data stored in a relational database.In that earlier column, I looked at why you ...

Crunchy Data gives companies the tools they need to build with Postgres, an open source and object-relational database management system that is popular with developers and works well with the SQL ...