MapR expands customer Cloud deployment options for Hadoop with Amazon Web Services

MapR Distribution now available in AWS Marketplace for real-time, continuous workloads in the cloud.

 

 

MapR Technologies has announced the immediate availability of the MapR Distribution product in Amazon Web Services (AWS) Marketplace, giving customers another quick and easy way to execute big data projects in the AWS Cloud. The MapR solution in AWS Marketplace provides a seamless path to a cloud platform for continuous, real-time operational Hadoop with fast launch and integrated billing from AWS, enabling customers to pay for only what they use with the scalability and reliability of AWS.

 

“Deploying MapR from AWS Marketplace provides customers an easy on-ramp to high performance, enterprise-grade Hadoop in the AWS Cloud,” said Steve Wooledge, vice president, product marketing, MapR Technologies. “We’ve had an established relationship with AWS through the availability of MapR on EMR and now the addition of our products for purchase on AWS Marketplace expands options for customers who want to run real-time Hadoop applications in the AWS Cloud and impact their business as it happens.”

 

“We are pleased customers now have access to purchase and deploy the MapR Distribution product from AWS Marketplace,” said Dave McCann, vice president, AWS Marketplace, Amazon Web Services, Inc. “The rapidly expanding population of customers buying and deploying third-party software from AWS Marketplace can now benefit from more big data deployment options, while taking advantage of AWS’ global scale, reliability and rapid pace of innovation.”

 

With this announcement, all three editions of the MapR Distribution — Community Edition, Enterprise Edition and Enterprise Database Edition — are immediately available in AWS Marketplace, including support of Apache Spark for rapid development of batch, interactive and streaming applications. MapR uses AWS CloudFormation templates to create reliable Hadoop clusters on AWS that are ideal for long-lived workloads.

 

Features from MapR like mirroring and MapR-DB table replication allow companies to build sophisticated cloud and on-premises hybrid deployment models, including the ability to “burst” analytic or operational applications into the cloud. Furthermore, native NFS capabilities in MapR make it simple for customers to move data in the cloud and integrate wide-ranging data sets and applications.

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