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 ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

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 ...

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 ...

Teradata (NYSE: TDC), a leading analytics solutions company, announced Teradata Everywhere™, an industry first that brings the world’s most powerful massively parallel processing (MPP) analytic ...

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 ...

Traditionally data acquisition has been the bottleneck for large scale proteomics. This has also remained one of the limitations in leveraging mass spectrometry within the clinic. PASEF and short ...

To avoid database conflicts that may occur when different test cases in different parallel threads attempt to access the same database simultaneously, testing of the software application can be ...

The database table locking can thus cause the second test to fail, even though the second test may have succeeded if it had been executed at a different time when the database table was not locked due ...