Cloud Computing Blog Posts

Posted on March 21, 2016 by Steve Wooledge

The number of organizations that are thinking about using Hadoop has grown astronomically over the past year. How do you know whether you’re ready to implement Hadoop, and what are the best practices?

Posted on February 23, 2016 by Tugdual Grall

We live in a world where the combination of Moore’s Law and Metcalfe’s Law heralds a data revolution. The billions of smartphone and broadband users today already generate massive quantities of data.

Posted on October 2, 2015 by Bill Peterson

The MapR Distribution including Hadoop is now available on the Azure Fast Start. This solution enables push button deployment of MapR on the Azure cloud infrastructure, providing you with the solutions to turn your big data into big money.

Posted on May 29, 2015 by Matthew Lescohier

The MapR Distribution including Hadoop is now available in a private IT sandbox environment on the Amazon Web Services (AWS) Test Drive. We’ve partnered with AWS to create this lab environment so that you can gain hands-on experience with Hadoop.

Posted on April 10, 2015 by Jim Scott

Not too long ago it was commonplace for people to have their data sitting on multiple different computers in their home and keeping backups of data between the machines in case one failed. As anyone who lived through that can recall, it was a pain to manage and to keep files in sync, and if one of those computers died, it was a struggle to ensure that you had the latest copies of your data files somewhere among those computers. As a matter of fact, sadly, I know there are still people who manage their data this way today.

Posted on November 21, 2014 by Matthew Lescohier

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.

Posted on June 30, 2014 by John Schroeder

This morning we were extremely pleased to announce a $110 million financing round led by Google Capital.

Posted on January 29, 2014 by Karen Whipple
Recognized in the "Most Innovative Use of Big Data" Category

We are honored to announce that we are the winner in the Most Innovative Use of Big Data category of the 2013-2014 Cloud Awards program. The Cloud Awards program identifies and celebrates excellence in the field of cloud computing.

Posted on May 23, 2013 by Jabari Norton

MapR was proud to participate in the Developer Sandbox at Google I/O, Google’s exclusive annual developer conference held in San Francisco last week. The conference featured speakers from various industries as well as code labs and developer demos.

Posted on October 24, 2012 by M.C. Srivas
When MapR was given access to Google Compute Engine's limited preview, we ran a lot of mini tests on the virtualized hardware to figure out how to tune our software. The results of those tests were surprisingly good. The speed and consistent performance provided by Google Compute Engine even at the 99th percentile was very impressive. So we decided to run a TeraSort benchmark just to see how well we could do in a virtualized, shared environment where we didn't control the hardware, nor control the other non-MapR tenants.

An Earlier Result
Posted on October 17, 2012 by Jack Norris

MapR and Google will be conducting a workshop on best practices for Leveraging Big Data in the Cloud, taking place Tuesday, Oct 23 in New York City.

This is a great opportunity to learn how you can get the most out of your Big Data investment. Many companies today are either using or evaluating Hadoop for Big Data analytics. At the same time, they are looking at the cloud as an option to support their growing data center demands.

Posted on August 13, 2012 by Jack Norris

In a new briefing, the 451 Group details MapR’s exciting past few months. MapR has continued to strive to expand our product to meet our customers needs in wherever computing environment they may have – in the cloud, on-premise or both. The Amazon and Google announcements serve to establish MapR as the emerging defacto standard for Hadoop.

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