The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...
TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...
Graph database use cases primarily involve data sets with many-to-many relationships, according to Philip Howard, an analyst at Bloor Research. For such applications, "graph databases not only perform ...
Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...
TigerGraph on Tuesday launched Savanna, a cloud-based graph database designed to quickly process large amounts of connected data to feed AI and analytics applications. Now generally available, Savanna ...
More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...
MOUNTAIN VIEW, Calif., April 15, 2025 (GLOBE NEWSWIRE) -- Aerospike, Inc. today announced it has been named Graph DBS Solution of the Year in the annual Data Breakthrough Awards program. This marks ...
Dublin, Jan. 30, 2025 (GLOBE NEWSWIRE) -- The "Graph Database Market by Solutions (Graph Extension, Graph Processing Engines, Native Graph Database, Knowledge Graph Engines), Application (Data ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...
Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...
NoSQL databases have emerged to address the limitations of traditional relational systems when managing massive, heterogeneous datasets generated by modern applications. They dispense with rigid ...
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