At the crux of many an enterprise-scale big data system stands either MapReduce or a parallel database management system. But which is more efficient? Researchers from Dublin Institute of Technology, ...

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 ...

Oracle certainly has learned a few things about scaling up and scaling out database workloads since the first Oracle Parallel Server debuted with Oracle 6.2 in 1990 and was commercialized on massively ...

Faster data loading to build graphs quickly Faster execution of parallel graph algorithms Real-time capability for streaming updates and inserts using REST Ability to unify real-time analytics ...

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.

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 ...

Parallel database Search Engine in Realtime (PaSER) is a complete hardware and software solution that has two focuses: Speed and Smarts.

This is made possible by Parallel database Search Engine in Realtime (PaSER). PaSER 1.0 is a complete hardware and software solution that has two focuses: Speed and Smarts.

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.