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GoGrid Unveils Open Data Services Ecosystem to Power the Next Generation of Big Data Development

Best-of-Breed Big Data Solutions Simplify Deployment, Speed Time-to-Market, and Help Enterprises Focus on Innovation

San Francisco, Calif. — February 11, 2014 — GoGrid, the leader in Open Data Services (ODS), today unveiled an ecosystem of Big Data solutions available immediately through its 1-Button Deploy™ technology. Running on the only cloud purpose-built for Big Data, these solutions enable enterprises to quickly and easily evaluate and run the best-of-breed open source Big Data solutions that will power the next generation of data-driven products and applications.

To handle the ever-growing store of data from mobile and connected devices, companies need innovative solutions that help them capture, analyze, and intelligently use this information. In the past, they might have turned to platform-as-a-service (PaaS) solutions. However, PaaS vendors tend to discourage the adoption of new technologies, lock-in customers with proprietary offerings, can’t accommodate multiple solutions, and limit innovation with inflexible platforms. ODS offers an alternative that delivers the benefits of PaaS without these pitfalls.

The Open Data Services Ecosystem
GoGrid has partnered with the leading Big Data solution providers to provide the full range of tools enterprises need to run their platforms and applications smoothly and efficiently. Its initial ODS 1-Button Deploy™ offerings include versions for MongoDB, Basho’s Riak, Cassandra, and Hortonworks’ Hadoop Big Data solutions.

“Today’s most innovative companies are ‘polyglot’ technology users, taking advantage of multiple clouds and multiple systems to deliver their products,” said GoGrid CEO John Keagy. “The flexibility to choose from a diverse ecosystem of Big Data technologies, combined with the frictionless setup powered by GoGrid’s 1-Button Deploy™, is crucial for companies to dramatically advance the next wave of data-powered products and services.”

By featuring automatic orchestration with 1-Button Deploy™, GoGrid gives companies the flexibility to easily test out different technologies without wasting valuable time and resources. Instead of requiring weeks or months for research, configuration, and deployment, 1-Button Deploy™ gets enterprises up and running with a Big Data solution in a matter of minutes. This approach allows companies the freedom to discover which technology – or combination of technologies – best suits their needs.

The Big Data Demand
In its commitment to delivering the best infrastructure and widest range of Big Data solutions, GoGrid aims to meet a rapidly growing demand. A recent report1 by 451 Research analyst Liam Eagle predicts that products leveraging Big Data in the cloud will see increasing market share in the coming years.

“In its revenue predictions for the database-as-a-service market, and its surveying end users of infrastructure services, 451 Research has identified big-data products as a large area for growth in cloud consumption over the next several years,” Eagle stated in the report. “By positioning itself with a complete and easily deployed set of big-data offerings (not to mention a focus on compliance), GoGrid has positioned itself as one of the cloud providers most likely to benefit from that boom.”

About GoGrid
GoGrid enables companies to evaluate and run multiple, on-demand Big Data solutions quickly, simply, reliably, securely, and cost-effectively. As the leader in Open Data Services (ODS), GoGrid is committed to delivering purpose-built Big Data solutions and services for the management and integration of open source, commercial, and proprietary technologies across multiple platforms. With over 15,000 customers and over 600,000 VMs deployed, GoGrid has pioneered cloud infrastructure for more than a decade for companies like Condé Nast, Merkle, and Preventice. For more information, please visit www.gogrid.com.

1451 Research LLC, “New wave databases in the cloud, part 4: GoGrid's one-button 'big data' products” by Liam Eagle, November 19, 2013

PR publication date: 
Tuesday, February 11, 2014

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