This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...

For a few decades, structured data are typically arranged as relational tables and stored in relational databases. Recent years have witnessed the blossom of graph databases, for which graph becomes ...

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 ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

NEW YORK, March 28, 2019 /PRNewswire/ -- Hudson Data released ML Graph, a groundbreaking software framework that provides the ability to easily create and analyze graph structures from relational ...

When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational database faithful. Specifically, Aster's SQL-MapReduce facility allowed ...

TigerGraph, maker of the TigerGraph native parallel graph database designed for deep link analytics, has introduced TigerGraph Cloud, a graph database-as-a-service platform. The service, priced on a ...

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 ...