MapR Technologies Inc. has just made its Hadoop distribution available on Amazon Web Services via the AWS Marketplace.

With the availability of MapR on AWS, enterprises now have another quick and easy option for running their Big Data products on the AWS cloud. MapR’s solution offers a path to a cloud platform that delivers continuous, real-time operational Hadoop, and comes with fast-launch and integrated billing from AWS. This way, customers only pay for what they use, while being assured of the reliability and scalability associated with AWS.

“Deploying MapR from AWS Marketplace provides customers an easy on-ramp to high performance, enterprise-grade Hadoop in the AWS Cloud,” sSteve Wooledge, vice president of product marketing at MapR, said in prepared comments. “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.”

All three of MapR’s Hadoop distributions – including Community, Enterprise and Enterprise Database versions – are now available on AWS on a pay-per-use basis, MapR said. Customers simply need to choose the edition they want to run, select an elastic compute cloud instance, and then the AMI is automatically deployed with MapR’s software and the required operating system. Alternatively, customers can create Hadoop clusters on AWS using the AWS CloudFormation service.

MapR on AWS offers capabilities including MapR-DB table replication and mirroring that allow users to create highly sophisticated hybrid or public cloud deployments. Such deployments give customers the ability to extend analytics or operational applications from their on-premise data centers to AWS’ public cloud if they require it. MapR also provides support for native network file systems so customers can move data to the cloud and integrate a wide range of applications and data sets. There’s also support for Apache Spark for real-time in-memory processing of Big Data workloads.

MapR on AWS rivals Amazon’s own Elastic MapReduce service, which the cloud giant recently upgraded to version 4.0.0, integrating the latest versions of Hadoop, Spark and Apache Hive.

The move comes a couple of months after MapR announced availability of its Hadoop platform on Microsoft’s Azure cloud.

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