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Trusted Business Advisors, Expert Technology Analysts

Research Areas

Big Data

Includes Big Data Appliances, Scale-out Object Storage, On-Premise and Cloud Big Data, Data Management at scale, Big Data Protection and Operations.

Our big data practice covers the whole big data storage and analytics space for enterprises, from on-premises big data storage to cloud-scale infrastructure. We analyze all the emerging and established technology and trends in these active and growing categories, and communicate their detailed impacts on the enterprise and to their business-focused big data analysts. Corporations are now actively looking for key transformative technologies to help them meet their new big data challenges and the increasing demands of both data scientists and production application owners, all while controlling the exploding costs of storing, managing and protecting their growing big data stores.

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Report

Kazeon: The Changing Landscape for eDiscovery

Optimizing eDiscovery is a critical issue in today’s enterprise, which is facing increasing regulatory and litigation pressures involving unstructured data. Being aware of and having rapid access to this type of information is becoming increasingly important to business decisions and protecting intellectual property.

Publish date: 03/15/08
Profile

StoredIQ and eDiscovery

eDiscovery is a major driver for Information Classification and Management (ICM) technologies. StoredIQ fits firmly into the ICM space and is riding the eDiscovery wave into companies that have had enough of discovery costs and costly failures, and are ready to make a change for the better.

Publish date: 01/02/08
Profile

Terrascale - Product Profile

The shift away from proprietary scale-up architectures towards horizontally scalable or scale-out solutions based on standard commodity components is gaining significant momentum in the real customer environments. In industries like Financial Services, Life Sciences, and Oil & Gas, high node count Linux clusters provide the level of scalability and performance required for massively parallel applications performing arbitrage analysis, geo-seismic data analysis, and genetic sequencing operations.

 

Publish date: 06/01/04
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