A database that can serve graph formats is required for graph analytics. It can be a specialized graph database or a convergent database that supports several data types, including graphs.

Graph databases offer significant advantages to the healthcare, pharmaceutical, and life sciences sectors due to their ability to model and query complex relationships within data.

Combining both graph databases and knowledge graphs “enables you to derive maximum benefit with GenAI and large language model technologies,” said Biswas. “A high-performance graph database with a ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Aerospike Multi-model Database Aerospike makes it easy to launch in the cloud and choose the right data model for the job-whether document, graph, key-value, or vector search -all within a single, ...

Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and store data as interconnected nodes and relationships.

Unlike RDB, the graph database utilizes graphs linked by points and lines to store and manage each aspect of data, thus enabling analysis of a large volume of data in a short period of time. According ...

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...