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 ...

Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...

Recently, I had an enlightening conversation with Gemini Data about their approach to creating what I’m calling “semantic connectors.” These connectors will help immensely in making graph ETL work ...

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...

BOSTON--(BUSINESS WIRE)--Cambridge Semantics and CData Software today announced a technology partnership to provide SQL query access to a code-free, graph-based, big data management and analytics ...

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 ...

Cambridge Semantics and CData Software have formed a technology partnership to provide SQL query access to a code-free, graph-based, big data management and analytics environment. With graph ...

IBM today announced the general availability of Graph, a service for the Bluemix cloud offering that the company said helps set up a relatively new, high-performing type of database. Graph databases ...

Data.world connects data and people. That was the gist of our coverage of data.world's release of its enterprise platform about a year ago. Data.world has been doing that with great success, and today ...

TigerGraph, a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. The round was led by Tiger ...