Graph databases and relational databases have big differences when it comes to how connections work, ... Catchpoint adds OpenTelemetry-based real-user monitoring for mobile devices. May 27, 2025.

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

Graph database vs. relational database. In a traditional relational or SQL database, the data is organized into tables. Each table records data in a specific format with a fixed number of columns ...

Data modeling flexibility: Because they are schema-less, they are ideal for various types of data formats, such as document stores, key-value stores, and graph databases.

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. This evolution promises deeper insights and can facilitate a more ...

More and more systems are also enabling relational shims that hide the details of the differences between tabular and graph databases so that they can work with existing toolsets (such as those ...

Non-native graph databases are adapted to support graph-like functionality on top of other database systems like relational or NoSQL, providing flexibility and using the strengths of the ...

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.Today’s Seri ...

While graph databases such as DataStax Enterprise Graph (based on Titan DB), Neo4, and IBM Graph have been around for several years, recent announcements of managed cloud services like AWS Neptune ...

The benefits of graph databases go beyond mere query speed. Complex relational models no longer need to be hammered out in the usual, arduous manner because relationships can be modeled easily and ...