EMC Pivotal Speeds Up Database, Hadoop Implementation
Pivotal adds new capabilities to its signature Big Data Suite that allow enterprises to offload more high-priority workloads to Hadoop.LAS VEGAS—EMC has always been able to store lots and lots of files and data. But when it came to the processing of enterprise big data workloads, the company—which didn't make servers—knew a few years ago that it didn't have the new-gen capabilities to handle an anticipated wave of new big data use cases. To little fanfare, it bought a small San Francisco-based startup called Pivotal in March 2012, and following some corporate investment and direction, EMC soon had the foundation for a whole new business: the processing, distribution and storage of large data sets using a full-fledged set of tools in a cloud service. The acquisition has been very successful. Pivotal's tools and services are now used by more than 350,000 developers globally. At EMC World 2015 on May 5, Pivotal added to its signature Big Data Suite by introducing a faster implementation of the Pivotal Greenplum Database and a new implementation of the Apache Spark framework that runs on top of the Pivotal distribution of Hadoop.
Pivotal Big Data Suite is aimed at providing users with better stability, management, security, monitoring, and data processing capabilities in the Hadoop stack. This allows enterprises to offload more high-priority workloads to Hadoop, to store and process large volumes of data at lower costs, and do it in compliance with policies and regulations.