Big Data News: MapR and VMware Partner on Hadoop

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The MapR Hadoop distribution is now certified for VMware vSphere, RainStor gains Hortonworks Data Platform certification, and Fujitsu refreshes its Big Data products and services.

VMware and MapR partner on Hadoop.  MapR Technologies and VMware announced that MapR’s Distribution for Apache Hadoop is now certified for VMware vSphere. After the companies completed an extensive validation process, joint customers may now easily deploy and run the MapR Distribution for Hadoop on VMware vSphere and receive commercial support. By virtualizing the MapR Distribution for Hadoop, IT departments can achieve the benefits of running Hadoop in a pool of existing compute and storage resources, and on one common platform such as VMware vSphere. Enterprises are now capable of rapidly deploying new virtual Hadoop clusters in minutes using Project Serengeti and VMware vSphere. “MapR and VMware have worked closely to offer enterprises a dependable, high-performing and easy- to-use Hadoop distribution to help them gain insights from Big Data,” said Fausto Ibarra, senior director, Product Management, VMware. “As Hadoop technology continues to evolve, customers are realizing the benefits of combining a Hadoop distribution explicitly designed for enterprise-use cases, with a powerful and flexible virtualization platform such as VMware vSphere.  Our joint efforts will help enterprises to accelerate their adoption of Hadoop.”

RainStor certified for Hortonworks Data Platform.  RainStor announced that it has successfully completed product testing and benchmarks resulting in certification of its designed-for-Big Data database on the Hortonworks Data Platform (HDP). Built and packaged by the core architects of Hadoop, HDP includes all the necessary components to manage a cluster at scale and uncover business insights from existing and new data sources. The RainStor solution was tested for data load, data compression and query response performance and showed that it achieved he loading of 1 billion records in 47 minutes, a 29X data compression rate and a query response rate for RainStor SQL that is on average 4 to 10 times faster than Hive. “RainStor’s database product is architecturally designed to run on HDFS and with its efficient way of storing data in a highly compressed format, you not only gain savings as your data volumes grow but you also speed up query performance,” said Ajay Singh, Director of Technical Channels, Hortonworks.

Fujitsu restructures big data products and services.  Fujitsu announced that it is restructuring its lineup of big data products and services under the FUJITSU Big Data Initiative. The big data initiative center organization will be comprised of 800 people, and will serve as the foundation for delivering a complete array of big data products and services that accelerate innovation for customers and society. In addition to its Cloud PaaS Utilization Platform services launched last year and a high-performance PC cluster system that was developed for the K computer, Fujitsu will launch a support program to utilize big data and bring these previous offerings within a single structure. A new facility will be opened within Fujitsu Trusted Cloud Square to hold workshops with customers on the use of big data and for performing verification testing.

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