MapR and AWS Team Up to Enable Real-Time Hadoop in the Cloud

By Laura Stotler, TMCnet Contributing Editor  |  August 20, 2015

MapR Technologies has joined ranks with AWS, making its distribution product for big data projects available in the AWS Cloud. The MapR Distribution solution enables continuous, real-time operational Apache Hadoop within the AWS cloud platform.

AWS provides integrated billing and a smooth and fast launch of the offering, and customers need only pay for what they use with the ability to scale up or down through AWS. The solution includes three versions, a Community Edition, Enterprise Edition and Enterprise Database edition. All offerings are available through AWS Marketplace and all include support for Apache Spark. This enables quick development of batch, interactive and streaming apps.

"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," said Steve Wooledge, vice president, product marketing, MapR Technologies.

The companies first teamed up two years ago to create the Amazon Elastic MapReduce offering for provisioning and managing Hadoop within the AWS Cloud. In June, MapR announced it was working with Google (News - Alert) Cloud Platform to offer a $500 credit on cloud services to registrants of its free Hadoop On-Demand Training program. The company also announced in June it was working with Microsoft (News - Alert) to provide MapR Distribution, including Hadoop, on the Azure cloud platform. Specifically, MapR is slated to be integrated with Azure Data Lake, letting customers deploy tiered analytical as well as storage capabilities within Microsoft’s cloud platform.

In working with AWS, MapR takes advantage of Amazon’s CloudFormation templates to create Hadoop clusters for long-lived workloads. The distribution includes benefits like mirroring and the MapR-DB table replication features, which enables customers to build cloud and on-premises hybrid deployment models. Users may also choose to “burst” analytic and operational apps into the cloud, while native MapR capabilities enable easy migration of data to the cloud, as well as the ability to integrate it with a wide range of data sets and apps.

Edited by Dominick Sorrentino