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 ...

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 ...

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 ...

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 ...

A team of researchers will release on Tuesday a paper showing that parallel SQL databases perform up to 6.5 times faster than Google Inc.’s MapReduce data-crunching technology. Google bypassed ...

There is a disconnect between the database engines that underpin both relational databases and the SQL front ends that have been grafted onto Hadoop analytics tools and the underlying hardware on ...

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 ...

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 ...