Software provider Pivotal has merged traditional and next generation data infrastructure technologies in a Big Data “Mega Bundle”.
According to a company statement, the merging of traditional and next-generation data infrastructure technologies is defined as a Business Data Lake - a business priority for CIOs in 2014 and beyond.
The Pivotal Big Data Suite helps companies capitalise on explosive data growth by offering a multi-faceted data portfolio with a “use it as you need it” pricing model.
This enables organizations to flexibly move their investment from one technology to another within the suite, at any time.
Per core pricing ensures that data that is simply being stored is not taxed, which will be important as enterprises seek to consolidate more and more information into a Business Data Lake.
Pivotal Big Data Suite is now available through a subscription-based support and maintenance package that bundles Pivotal Greenplum Database, Pivotal GemFire, Pivotal SQLFire, Pivotal GemFire XD, Pivotal HAWQ, and Pivotal HD into a flexible pool of big and fast data products for customers.
Enterprise Management Associates vice president, Shawn Rogers, said the suite delivered an array of functionality combined with a subscription-based model that allows customers to leverage the technology they need without traditional licensing constraints.
“By providing unlimited and supported Pivotal HD, Pivotal has found a way to encourage data growth and reduce risk for its customers enabling them to thrive and innovate.”
Pivotal chief executive, Paul Maritz, said enterprise customers were ready to move onto the next generation of data computing.
“They should be able to take advantage of modern database technologies and use them collectively without fear of penalty or waste of investment,” he said.
“With the Pivotal Big Data Suite, we are taking the lead for the industry by removing the technical barriers to data off the plates of our customers.
“Now the choice isn’t about Hadoop or a SQL database, in-memory or real-time processing, but efficiency and value.”