TigerGraph says they can load 50 to 150 GB of data per hour per machine, traverse hundreds of million of vertices/edges per second per machine, and do real-time updates and inserts thus unifying ...

Lately many products have arisen in this space, which was originally (in 1999) the sole province of Neo4j. InfoWorld TigerGraph, a recent arrival, is a “real-time native parallel graph database.” ...

Key Benefits of a Graph Database Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

NEW PRODUCT ANALYSIS: Unlike other graph databases that delve two to three levels deep into the connected data, TigerGraph's pattern analytics is tuned to be efficient and tractable with the ...

Memgraph, a real-time graph database provider, today announced it has raised $9.34 million in a seed funding round led by Microsoft’s M12. The company also launched its community and enterprise ...

Neo4j today took the wraps off several major improvements to its cloud-based graph database, dubbed Neo4j AuraDB, including a new GenAI-infused console, an interactive dashboard builder, a new ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Graph visualization - lots of data with hotspots Ultipa Secures New Real-time Graph Database Deals with Central Banks and Regulators, serving needs for real-time crypt fraud detection. PLEASANTON ...

PLEASANTON, CA, USA, July 31, 2024 / EINPresswire.com / -- Ultipa, a leading provider of high-performance graph database solutions, today announced a strategic partnership with Enablit Srl, a ...

Industry Voices—How to transform healthcare with real-time deep link analytics? Graph databases By Gaurav Deshpande Jun 19, 2019 11:37am Big Data Digital health Healthcare Costs Hospital Impact ...

George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.