Graph databases are the fastest-growing category in all of data management. Graph databases have evolved into a mainstream technology that has been successfully implemented by organizations in ...

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 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 ...

New techniques make graph databases a powerful tool for grounding large language models in private data. Once you get past the chatbot hype, it’s clear that generative AI is a useful tool ...

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 ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

TigerGraph provides a popular graph database of the same name. The platform can store graphs with up to trillions of edges, data points that show how different pieces of information are connected ...

SAN MATEO, CA--(Marketwired - Jun 4, 2014) - Neo Technology, creators of Neo4j, the world's leading graph database, today announced that healthcare companies around the globe have turned to Neo4j ...

Data Squared (Data²), a small business dedicated to helping public and private sector organizations unlock the full potential of their data, is partnering with Neo4j, a leading graph database and ...