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Analyzing Big Data Almost Real Time

transtec Includes HPC-Database ParStream into their Portfolio

transtec, the provider of solutions for High Performance Computing (HPC) with headquarters in Germany, offers – with immediate effect – ParStream as a highly performing database solution for Big Data Analysis. It is faster by a factor of 1,000 than conventional systems while at the same time reducing the hardware capacity requirements by a factor of 20. ParStream has been developed by the start-up company of the same name based in Cologne, Germany.

ParStream makes efficient use of the high degree of parallelism of current multi-processor architecture – ranging from standard CPUs to highly parallel NVIDIA Tesla GPUs. It also uses a novel indexing method, the Highly Parallel Compressed Index. Furthermore, ParStream can also execute queries on data immediately after a continuously running import, offering near real-time results, also with petabytes of data.
 
“Data volumes are increasing rapidly in most companies,” says Jörg Bienert, ParStream’s founder and CEO. “Classical database systems are not equal to this challenge. Algorithmic procedures for indexing large amounts of data have seen relatively few innovations in the past years and decades.”

“We are convinced that we are revolutionizing the database market and will help customers transform their data into knowledge and, ultimately, into capital,” says Michael Hummel, co-founder and joint CEO of ParStream. “Data has become an extremely important resource for companies and scientists in the 21st century and that is why developing instruments for managing and analyzing Big Data is one of the biggest challenges facing IT in the near future. With transtec as our partner who is highly experienced in HPC projects, we will deliver on this promise.”

“We have a lot of customers from the scientific as well as financial or telecommunications areas, where analyzing huge amounts of data in the shortest period of time possible is a critical factor of success,” explains Dr. Oliver Tennert, Director Technology Management and HPC Solutions at transtec. “As a specialist for High Performance Computing we are now able to offer these customers ParStream as a database system, based on our powerful and high-quality HPC hardware components, as a total solution that is optimized for this challenge in the best way imaginable.”

Application scenarios for ParStream exist at companies in a wide range of industries where Big Data Analysis constitutes a challenge. Examples include network surveillance in the telecommunications industry, Web analytics in e-commerce, smart grid management in the energy sector, or the misuse of credit cards in the financial sector.  ParStream is also suitable for use in research fields such as climate model analysis or genetic research.