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, ...

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.

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 ...

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 ...

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 ...

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

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.

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 ...

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.