TigerGraph Bolsters Database with Graph Analytics and ML

Companies that want to use powerful graph algorithms to explore hidden connections in their data may want to check out TigerGraph, which today unveiled a pair of cloud-based offerings designed to bolster graph analytics Read more…

Neo4j Drives Simplicity with Graph Data Science Refresh

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that complexity from t Read more…

Neo4j Sees Graph Data Science Taking Off Following $325 Million Round

Operational use cases such as fraud prediction and recommendation engines have dominated in Neo4j’s existence up to this point. But following today’s announcement of a $325-million funding round that values the graph Read more…

KAIST Introduces T-GPS, a Tool for Processing a Trillion-Edge Graph on One Computer

Graphs are widely used to represent a wide variety of systems, ranging from the relationships between users of a social network to the payments among a network of bank accounts, and graph algorithms can process that data Read more…

Neo4j Brings Graph Database and Data Science Together

Enterprises that want to use powerful graph algorithms to discover relationships hidden in their data now have an easier path to get there thanks to the new data science library unveiled today by graph database maker Neo Read more…

Microsoft Applies Deep Learning to Vector Search

Since acquiring GitHub last June, Microsoft has sought to make good on its pledge to retain the project collaboration platform’s “developer-first ethos.” This week it turned over to GitHub an AI search tool as an Read more…

Neo4j Expands Startup Access to Graph Database

Graph database specialist Neo4j is expanding free access to its enterprise platform for startup companies, a move the company said would help later-stage entrepreneurs expand their data visualization efforts as that mark Read more…