HOPS Announces Release Date for "Shared Nothing" Parallel Processing Functionality

Miami, FL – October 15, 2011 - HOPS, a leading provider of data analytic tools and products, announced today that it will release its solution for true "shared nothing" scale-out performance in the first quarter of 2012. In a surprising announcement, HOPS previewed that the HOPS Parallel Processing functionality will be released as an enhancement to its existing HOPS Data Processing Engine. This release will add shared nothing scale-out functionality on top of HOPS' well proven performance on scale-up solutions. By providing both scale options from the same HOPS server installation, HOPS is revolutionizing the market place.

"As demonstrated in our recent benchmarks at the HP Solution Center, The HOPS Data Processing Engine is the world leader in data processing performance. The HOPS DPE already extracts maximum performance from any given node of hardware and our column-based compression already enables us to process far more data per node than do most other systems," instructs HOPS' EVP of Core Technologies, Chris Knorr. "The new HOPS Parallel Processing functionality now makes our per node hardware maximization available across a shared nothing cluster of HOPS servers. This offers clients an unparalleled opportunity to truly tackle ANY big data challenge."

While other database technologies are optimized for either scale-up (adding expensive and specialized components to a single server or appliance) or scale-out (adding multiple processing nodes with an overlaid control architecture), HOPS CTO, John Moses, says HOPS alone offers both solutions in the same package. "The HOPS data processing paradigm, as enacted in the HOPS 'Seed', is perfectly suited for both scale scenarios. Most scale-out solutions require complex code language, bottlenecked through fewer, most expensive specialists, to perform complex data processing tasks across a shared nothing cluster. In comparison, the HOPS Seed, already intuitive and available to a broad pool of analysts, was always designed to handle data processing. Enabling HOPS to be deployed and managed across a cluster was our next logical step for development."

Enterprises make strategic investment decisions around architecture scale. These decisions inform requirements for licensing costs, hardware acquisition, infrastructure investment, system architecture and staffing levels and skill profiles. Such decisions must be made in advance and can impact total cost of ownership and even solution delivery options for years into the future. HOPS CEO, Simeon Kohl explains, "In HPP, HOPS is bringing another truly revolutionary technology to the market place. By providing both scale-up and scale-out options within the same product, HOPS empowers the enterprise to make scale decisions on a more tactical level. Data centers can scale as appropriate to a particular data challenge and changing scale architecture doesn't require a wholesale change in hardware, licensing or staffing. Unlike anyone else, HOPS now affords the enterprise complete flexibility to architect flexible solutions to changing market demands."

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About HOPS

HOPS (www.hops.com) is a leading provider of data analytic tools and products, utilizing its unique data processing engine to quickly get clients accessing their data for a cost point previously thought impossible. HOPS, which stands for Heuristic Optimized Processing System, is the fastest and most flexible on-demand analysis solution available for large sets of data. HOPS is headquartered in Miami Lakes, FL.