» Why Univa?

Why Univa

Univa Products Support Mission Critical Applications:

  • Converged Big Data and Big Compute Applications
  • Enterprise Business and Operational Applications
  • Technical Computing Applications

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Why Univa

Big Data Meets Big Compute @ Univa

Every CIO knows that the exponential growth of data in their enterprise is driven by the business analyses that seek to improve profits and answer our questions; the need for improved aerodynamics and better fuel economy in the cars we drive; the benefits new science brings to healthcare; our love for faster, better and smarter electronics; improved safety in designs of products or where we drill for oil. Many enterprises have embraced Big Compute – the use of scale-out computer servers that run large quantities of mission-critical compute-intensive applications that grind against large amounts of data. Big Compute is mission-critical and a competitive advantage in today’s fast paced and changing world and it has helped design new products, reduce time-to-market and increase revenues and profits for thousands of enterprises and other organizations.

It may be not clear how enterprises can take advantage of Big Compute in their quest to unlock new insight from a new and growing set of Big Data applications. The answer is Univa, the Datacenter Automation platform, designed for today’s converged Big Compute and Big Data environments. With a scalable, reliable enterprise-class solution, Univa make it seamless to leverage cluster resources for Apache Hadoop®, serial and parallel workload cloud computing and a new class of hybrid servers. Univa’s platform provides enterprises with speed-to-deployment, and greater effectiveness in answering mission-critical questions from highly intensive compute and data applications.

Redefining Workload Management For Today’s Compute Environment

Enterprises struggle to justify deploying Big Data solutions in production in an application silo with low utilization rates. By deploying Big Data applications into on existing Big Compute infrastructure, enterprises can speed deployments and reduce cost. Univa’s solutions are proven to deal with this reality. After all, Big Data technologies like Hadoop run on a cluster and are simply a class of applications that need to be managed, monitored, tracked and reported in a shared environment. With Univa Grid Engine and UniSight, we're simplifying the management and support of converged infrastructures and delivering on the promise of Big Data through the automation of the platform.

Univa’s development and support overcomes open-source Grid Engine’s past support limitations and ushers in a new era of innovation to provide the confidence that enterprises need in order to meet the challenges of today and tomorrow.

Redefining Scalability, Reliability for Enterprise Compute

The explosive growth of enterprise simulation models, data-analytics software, and visualization tools has created the need for a scalable, reliable workload management solution. Grid Engine coupled with Univa provides unrivaled stability, integration, support and ease-of-use. Univa Grid Engine scales virtually without limits, and reliably manages efficient distribution of – compute- and data-intensive - workloads across shared compute resources. Univa has proven the performance, scalability and reliability in some of the world most data-centric customers including major semiconductor, manufacturing, government agencies, oil & gas and life science companies.

Redefining the Economics of Unlocking Value of Big Data

Univa’s ability to leverage today’s cluster for new applications such Hadoop redefines the economics of big data deployment. One of the cost advantages of Univa Grid Engine, is the integration with Hadoop which eliminates the building of dedicated Big Data clusters and leverages existing clusters to meet the needs of Big Data science and applications. Enterprises who build their Big Data with Univa in mind, have the ability to use a trusted workload management solution that will provide them the tools to reduce deployment time and cost of Big Data solutions.

Redefining Innovation Through Open Source

When you choose Univa, you gain the power of not only the most agile, experienced team, but also of Fritz Ferstl – the creator of the successful open source project – Grid Engine and the Chief Technology Officer of Univa. This is critical, because only Univa can provide you the support, and knowledge to be successful in a converged Big Data and Big Compute world.

Univa has delivered more code to the community than any third party outside of Sun with the release of Univa Grid Engine 8.0. In addition, Univa has increased the performance, throughput and reliability with hundreds of improvements, and shipped 3 new Grid Engine major releases and more than 10 minor releases and updates – something that Sun and Oracle had not been done for more than 2 years.

» Find out more about how Univa adds value and reduces costs for Grid Engine sites

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