A graph database startup is unveiling its first product today with $31 million in new series A funding in its pocket. TigerGraph Inc., formerly known as GraphSQL Inc., said it has built the first ...

Yale University researchers on Monday released an open-source parallel database that they say combines the data-crunching prowess of a relational database with the scalability of next-generation ...

A startup named TigerGraph emerged from stealth today with a new native parallel graph database that its founder thinks can shake up the analytics market. With $31 million in venture funding and ...

Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically ...

In this video from FOSDEM 2020, Frank McQuillan from Pivotal presents: Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases. In this session we will present an ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Maybe, if you need blazing performance extracting data and chewing on it from a relational database, it belongs in a cloud. Because for certain workloads, including vector search and retrieval ...

Parallel Universe is an Israeli technology company that promises video game companies the capability to make Matrix-style games through parallel processing, allowing millions of objects to be tracked ...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...