John Furrier and Dave Vellante, theCUBE co-hosts, broadcast live from San Jose, for the first day of Hadoop Summit 2013. They interviewed Tomer Shiran, Vice President of Product Management with MapR, talking about the Enterprise Data Architecture, Deployment and Operations, and the future of Apache Hadoop.
MapR is a company that focuses its activity on making Hadoop enterprise-ready. Apache Hadoop is an open source framework designed to run applications on large clusters of commodity hardware and to solve problems with inherent volumes and variety of data. MapR provides a complete distribution for Hadoop, without being affiliated with the Apache Software Foundation (ASF).
“We make Hadoop enterprise-grade. We bring customers all the innovation that happens in the open source community, we combine that with our own innovation to make the platform more enterprise-grade and we provide significant architectural advantages,” boasted Shiran.
Picking a couple of ideas from Shiran’s own explanation, Dave Vellante prompted him to elaborate on the architectural flexibility and process of adding features.
Big Data, flexibility and an adaptable future
Talking to numerous companies that use Hadoop, Shiran noticed there were a lot limitations with other Hadoop distributors. MapR solutions helped solve the inconsistency problems. MapR M7 provides scale, strong consistency and reliability, removing the trade-offs organizations face when looking to deploy a NoSQL solution.
“If you look at things like high availability, not having a name Node or snapshot sfor point-in-time recovery with full consistency, or disaster recovery across data centers, those are all features that are unique to MapR, and they’re enabled by the advanced architecture,” said Shiran.
John Furrier wanted Shiran to talk more in-depth about the collaboration between M7 and Fusion-io.
MapR M7 and Fusion-io
“MapR M7 is all about bringing together different types of Hadoop workloads, as well the NoSQL workloads, with the ability to run HBase applications in a production environment. So, M7 is about enterprise-grade HBase, in addition to Hadoop,” explained Shiran. “Having one platform, from a performance standpoint, solved all the inefficiencies that otherwise exist in the software layer.” The M7 performance advantages give way to new capabilities that are possible with Hadoop, and Fusion-io focuses on improving the performance of customers’ data centers by accelerating critical applications.
Shiran is confident that “With MapR you get all the advantages of open source, and the open source community, combined with our own innovation, so that the customers get the benefit of both worlds.” MapR M7 is a Big Data platform that provides dependability and performance advantages for NoSQL and Hadoop applications.
Talking about the future plans, Shiran admitted that “our vision for Hadoop is ‘One Platform for Big Data.'”
@thecube
#hadoopworld
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John Furrier and Dave Vellante, theCUBE co-hosts, broadcast live from San Jose, for the first day of Hadoop Summit 2013. They interviewed Tomer Shiran, Vice President of Product Management with MapR, talking about the Enterprise Data Architecture, Deployment and Operations, and the future of Apache Hadoop.
MapR is a company that focuses its activity on making Hadoop enterprise-ready. Apache Hadoop is an open source framework designed to run applications on large clusters of commodity hardware and to solve problems with inherent volumes and variety of data. MapR provides a complete distribution for Hadoop, without being affiliated with the Apache Software Foundation (ASF).
“We make Hadoop enterprise-grade. We bring customers all the innovation that happens in the open source community, we combine that with our own innovation to make the platform more enterprise-grade and we provide significant architectural advantages,” boasted Shiran.
Picking a couple of ideas from Shiran’s own explanation, Dave Vellante prompted him to elaborate on the architectural flexibility and process of adding features.
Big Data, flexibility and an adaptable future
Talking to numerous companies that use Hadoop, Shiran noticed there were a lot limitations with other Hadoop distributors. MapR solutions helped solve the inconsistency problems. MapR M7 provides scale, strong consistency and reliability, removing the trade-offs organizations face when looking to deploy a NoSQL solution.
“If you look at things like high availability, not having a name Node or snapshot sfor point-in-time recovery with full consistency, or disaster recovery across data centers, those are all features that are unique to MapR, and they’re enabled by the advanced architecture,” said Shiran.
John Furrier wanted Shiran to talk more in-depth about the collaboration between M7 and Fusion-io.
MapR M7 and Fusion-io
“MapR M7 is all about bringing together different types of Hadoop workloads, as well the NoSQL workloads, with the ability to run HBase applications in a production environment. So, M7 is about enterprise-grade HBase, in addition to Hadoop,” explained Shiran. “Having one platform, from a performance standpoint, solved all the inefficiencies that otherwise exist in the software layer.” The M7 performance advantages give way to new capabilities that are possible with Hadoop, and Fusion-io focuses on improving the performance of customers’ data centers by accelerating critical applications.
Shiran is confident that “With MapR you get all the advantages of open source, and the open source community, combined with our own innovation, so that the customers get the benefit of both worlds.” MapR M7 is a Big Data platform that provides dependability and performance advantages for NoSQL and Hadoop applications.
Talking about the future plans, Shiran admitted that “our vision for Hadoop is ‘One Platform for Big Data.'”
@thecube
#hadoopworld
