The Global Graph Database Market size is expected to reach $8.1 billion by 2028, rising at a market growth of 22.2% CAGR during the forecast period.A graph database is a single-pu ...

A note of caution: Graph databases are not a substitute or an alternative for relational databases. The two types of databases fulfill different data processing and application objectives.

As it is a multi-model graph database management solution that combines the PostgreSQL-based relational database and graph database, AgensGraph delivers significant differentiators to its clients in ...

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 ...

The global graph database market size to grow from USD 2.9 billion in 2023 to USD 7.3 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 20.2% during the forecast period. Graph databases ...

Also bringing graphs to the modern data management stack are graph specialists such as Cambridge Semantics, Franz, Neo4j, TigerGraph and others. Multimodel databases have come to support a Swiss ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

The fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, an organization keeps all of its data in rows and tables.

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.

Advantages of graph database fraud detection applications The advent of production-quality and highly scalable fraud detection applications that rely on the advantages of machine learning and a ...