“We tried to modernize our product tracking system with 3rd party software solutions and in-house relational database applications, but without success because relational databases lack the ability to ...
Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...
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 ...
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 ...
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Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...
Graph database company TigerGraph Inc. today announced a major update to its platform that brings dozens of new enterprise-grade features around availability, scalability, manageability and security.
New capabilities, new offerings, & 15X read capacity increase make the industry's most comprehensive graph offering easier to try, build & buy "By 2025, graph technologies will be used in 80% of data ...
TigerGraph, a Redwood City, California-based software developer providing a suite of enterprise graph database tools, today announced that that it’s secured $32 million in series B funding led by ...
Databases run the world, but database products are often some of the most mature and venerable software in the modern tech stack. Designers will pixel push, frontend engineers will add clicks to make ...