Read this case study and learn how a Major Research Center managed to:
Tackle its analytics' speed- and scalability barriers
Finalize its research phases significantly quicker and cut research time in hundreds of %
Pre-upload other databases to the GenomeStack and query massive datasets with a click of a button
Transitioned from a manual to an automated workflow
Benefit major savings in hardware, power consumtion and resources
Big Data Analytics Software Vendor SQream Technologies delivers a high-performing Next Generation GPU-powered SQL database designed to quickly relieve Big Data and complex Analytics pains to enable businesses interact dynamically with their digital assets. With minimum cost, hardware and infrastructure changes required, SQream enables businesses to easily ingest, store and analyze enormously large datasets in near real-time. Delivering a major technology boost speed, scale and capacity wise, requiring much less hardware and no special skill sets - translates into the most cost-effective big data analytics solution available in the market. SQream can be implemented on-premise, on the cloud or as a hybrid solution.