Amazon Web Services Just Made Running MapR Even Easier

I am excited to share some good news about the MapR Distribution on Amazon EMR.  First, Amazon Web Services has added support for the latest generation Amazon EC2 instance families with the Community (M3), Enterprise (M5), and Enterprise Database (M7) editions of the MapR Distribution in Amazon EMR. This means that you can now create Amazon EMR clusters with the MapR Distribution using the M3, C3, R3, I2, and G2 instance families.

Second, AWS will lower the hourly pricing for the Enterprise (M5) and Enterprise Database (M7) editions of the MapR Distribution on Amazon EMR.  In addition we will continue to offer the Community (M3) edition for free, which can turbocharge your EMR ETL performance and reliability, for free.  Like Amazon, we are committed to continuously increasing customer value through lower costs and higher performance.  The new, lower pricing extends the viability of using an always-on MapR Enterprise (M5) or Enterprise Database (M7) cluster in Amazon EMR for your long-running analytics applications.

To learn more about the new supported instance types for and lower pricing of the MapR Distribution including Apache Hadoop, as well as pricing information, visit this page.

We’re excited to be able to work closely with AWS to offer the MapR top-ranked Hadoop distribution on Amazon EMR.  It’s one of the easiest ways to set up a production-grade Hadoop cluster in the cloud.  Just last week, I spent a few days attending AWS Re:Invent, which was a phenomenal event.  What struck me most was the conversations that we had with customers that are using the MapR Distribution with other big data technologies and the AWS cloud to deliver value for their businesses.  Customers using MapR in conjunction with Amazon Elastic MapReduce (EMR) are seeing improved dependability, availability, ease-of-use, and speed in their Hadoop, NoSQL, and streaming applications and they are using this industry-leading technology pairing to support mission critical workloads in the cloud.

Stay tuned for additional developments as we extend our partnership with Amazon Web Services.

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