MapR Technologies is the latest in a line of software vendors to make its platform available on Amazon Web Services, offering the Hadoop-based MapR Distribution for big data processing accessible to users via the AWS Marketplace.
MapR, which offers an enterprise-grade analytics platform based on the open source Apache Hadoop project, has worked closely with AWS to develop Amazon Machine Images (AMIs) that enable hourly use of the MapR Distribution on its cloud platform.
The MapR Distribution on AWS is available immediately, offering developers and organisations a quick and easy way to execute big data projects in the AWS Cloud, instead of having to deploy and manage Hadoop clusters inside their own data centre. It enables customers to provision and operate real-time, continuous analytic workloads in the cloud.
"Deploying MapR from AWS Marketplace provides customers with an easy on-ramp to high-performance, enterprise-grade Hadoop in the AWS Cloud," said MapR Technologies marketing vice president Steve Wooledge.
The firm said that all three editions of the MapR Distribution - Community, Enterprise and Enterprise Database - are available on a pay-per-use basis. Customers can select the edition they require, the size of elastic compute cloud instance they want to run on, and the AMI is deployed with the MapR software and the required operating system. However, customers also need to use AWS CloudFormation to create Hadoop clusters on AWS.
Capabilities like mirroring and MapR-DB table replication allow companies to build sophisticated public cloud or hybrid cloud deployments, MapR said. This includes the ability to extend analytics or operational applications from the customer's data centre to the public cloud, if required.
MapR also has native network file system support that makes it simple for customers to move data to the cloud and integrate wide-ranging data sets and applications. It also supports Apache Spark for real-time in-memory processing of big data workloads.
MapR is competing on AWS with Amazon's own Elastic MapReduce service, which was recently upgraded to release 4.0.0 with new versions of Apache Hadoop, Hive and Spark. MapR also recently made its platform available on Microsoft's Azure public cloud.
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