Partners Blog Posts

Posted on February 23, 2017 by Thomas Scurlock

MapR held its first annual Federal Partner Summit on February 2, 2017. The event was well attended with over 75 people, including 47 partner companies. The all-day summit provided insight into the award winning MapR Converged Data Platform (CDP).

Posted on February 7, 2017 by Will Ochandarena

Today we took a big step in our convergence vision by announcing the MapR Converged Data Platform for Docker, which includes the MapR Persistent Application Client Container (PACC). This is noteworthy because the new generation of converged applications is as much about deploying operational, user-facing applications as performing analytics and machine learning, and containers are the future of application deployment.

Posted on February 1, 2017 by Jake Freivald

There's big potential locked away in your big data. If you can tap into it strategically, you can reap countless benefits, from increased productivity to greater profitability. You'll have a deeper understanding of your customers, better visibility into your operations, the insight you need to engage in better planning and decision making, and improved agility to respond to market and competitive shifts.

Posted on January 20, 2017 by Robert Novak

There’s a line in Alice’s Adventures in Wonderland that says, “It's no use going back to yesterday, because I was a different person then.” Some days, I feel that way about my storage infrastructures as well. I fell down a particular rabbit-hole into storage management accidentally almost 20 years ago. The typical application I supported was a database platform. With a monolithic app running on one very large server, we obviously used one very large storage array that, while slightly more modular, still had its configuration limitations.

Posted on December 19, 2016 by Sameer Nori

MapR and SAP share a common belief and vision about making big data analytics enterprise- ready, both at the platform and compute engine layer. In that regard, we are pleased to integrate and support SAP HANA Vora 1.3 and believe that it offers a complete solution for all types of big data analytic use cases.

Posted on December 16, 2016 by Jake Freivald

There's one important question on everyone's mind these days: "With all this information at our disposal, how do we leverage it in more strategic ways?" The most effective way to guarantee high returns on the massive amounts of structured and unstructured information you generate and store is to make sure it is used by and shared with as many stakeholders as possible.

Posted on November 10, 2016 by Dale Kim

According to IDC, the big data market, including services such as analytics, is expected to reach nearly $50 billion by 2019. Luckily for Quantium, data is in its DNA. Australia’s largest analytics business is happily riding the coattails of the booming global big data industry.

Posted on November 1, 2016 by Bill Peterson

MapR is pleased to support our partner Cisco with today’s UCS S-Series launch. The Cisco UCS S-Series consists of storage-optimized servers configured for scale-out storage (both Software Defined Storage and Web-Scale Storage with MapR).

Posted on April 18, 2016 by Bill Peterson

MapR, Cisco, and SAP have been collaborating for years to help you gain insight from all of your data sources. Today, we’re excited to announce that Cisco has developed an appliance that includes the MapR Converged Data Platform for SAP HANA, making it much easier and faster for you to harness the power of big data.

Posted on March 15, 2016 by Steve Wooledge

In the world of data warehouses and data marts, OLAP analysis has existed for many years. Concepts like drill down, drill across and roll ups have allowed business analysts and users to easily access and analyze data across a variety of dimensions such as product, customers and regions.

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 September 16, 2015 by Bill Zaharchuk

How times have changed—10-15 years ago, when you needed to store data for your application, it was likely structured data; the data fields were known ahead of time and didn’t change much.

Posted on September 14, 2015 by Sean Suchter

As more organizations begin to deploy Spark in their production clusters, the need for fine-grained monitoring tools becomes paramount.

Posted on September 10, 2015 by Bill Peterson

MapR is glad to partner with SAP and we are excited to see them bring lead-edge innovations to the market. We are thrilled today to talk about a new offering from SAP that along with the MapR data platform to help you better serve your customers and simplify how your business works.

Posted on September 9, 2015 by Bill Zaharchuk

How do you navigate the make vs. buy decisions today with multiple big data software vendors who have more offerings than ever? In this blog post, I’ll explore your choices when you have an existing product in market.

Posted on August 27, 2015 by Dale Kim

Every week, there are reports about new data breaches at organizations ranging from retailers to government agencies to, ahem, “dating services.” In fact, the theft of sensitive data costs global industry over $445 billion each year.

Posted on August 19, 2015 by Mark Muncy

Organizations have struggled with critical performance and scalability shortcomings of conventional data integration for years, leading many to push heavy data integration workloads down to the data warehouse. As a result, core data integration experienced a shift from extract, transform, and load (ETL) to extract, load, and transform (ELT).

Posted on June 10, 2015 by Jabari Norton

Today, a significant number of our customers are deploying the MapR Big Data platform in the cloud. This is not only true for development and test use cases, but also for many more production ones, especially those in the Internet of Everything (IoE) space.

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 May 8, 2015 by Jabari Norton

For the past several years, organizations have been struggling to figure out how to deal with all of the new data that is streaming in all around them. From smartphones to production line sensors, everything is generating data.

Posted on April 20, 2015 by Bill Peterson

By combining Teradata’s QueryGrid with MapR, you now can get access to the data in your data warehouse as well as Hadoop and NoSQL data sets in MapR.

Posted on April 6, 2015 by Matthew Lescohier

I’m writing to share some good news about the MapR Distribution on Amazon EMR. As of 4/6, version 4.0.2 of the MapR Distribution including Hadoop will be available for customers to deploy using Amazon EMR. Customers can quickly and easily use Amazon EMR to deploy and manage MapR, which features updated Apache projects - including YARN and Hive 0.13 - and takes advantage of new features, including promotable mirrors, that MapR has added to our differentiated MapR data platform.

Posted on March 19, 2015 by Lia Gurin

With the turn of the century, the technological revolution, and the onset of social media, big data has become critical to our everyday lives. By enabling us to make advancements in finance, communications, medicine, and scientific research, it has helped us find, store, deliver, and analyze large volumes of distributed data. Most interesting, perhaps, is big data’s role in genomics and its ability to identify, map, and sequence hundreds of millions of strands of DNA.

Posted on March 12, 2015 by Carole Murphy

Securing data is a problem, not for a subset of people, but in fact for everyone dealing with sensitive data—from executives and business stakeholders to data scientists and developers.

Posted on February 19, 2015 by Jabari Norton

A recent study published by Accenture and General Electric revealed that 87% of enterprises believe big data analytics will redefine the competitive landscape of their industries within the next three years. As big data analytics moves into the mainstream, we will see an increase in data-driven innovation across all major industries. So how do you identify the right analytics use cases for your business, and how do you get them deployed quickly?

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 November 19, 2014 by John Schroeder

We are pleased to announce that MapR has entered into an expanded partnership agreement with Teradata to provide our best-in-class Hadoop distribution, support, and services as part of the Teradata Unified Data Architecture. MapR already has dozens of joint customers with Teradata across major industries who use both of our solutions. Now those customers benefit from even deeper technical integration and new options for support and services.

Posted on October 22, 2014 by Karen Whipple

We are excited to announce that MapR has entered into a partnership agreement with Cisco to resell the MapR Distribution including Apache Hadoop. Together, Cisco and MapR are well positioned to help you unlock the power in your big data by offering a solution that features cost-effective management, increased agility, massive scalability, lower TCO, industry-leading performance, and end-to-end security.

Posted on October 14, 2014 by Dale Kim

In this blog series, we’re showcasing the top 10 reasons customers are turning to MapR in order to create new insights and optimize their data-driven strategies. Here’s reason #2: MapR provides world record performance for Hadoop.

Posted on September 2, 2014 by Jim Scott

“Google is living a few years in the future and sends the rest of us messages,” Doug Cutting, Hadoop founder

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 10, 2014 by Milan Vaclavik

When enterprise big data projects are successful, they can transform everything from operational efficiencies and product development to customer interactions and management processes. To help organizations glean the most value from their big data initiatives, CenturyLink Technology Solutions (formerly Savvis) recently announced a full suite of big data managed services, including MapR hosting and management.

Posted on July 11, 2013 by Tomer Shiran
One year ago we announced a strategic OEM partnership with Amazon Web Services (AWS), making the MapR M3 and M5 Editions for Hadoop available on Amazon Elastic MapReduce as a simple drop-down selection in the AWS Management Console.
Posted on November 19, 2012 by Nitin Bandugula
The following is a re-post from Wired Innovation Insights.

A new TeraSort world record was established using about $9 of Google Compute Engine resources and the MapR Distribution for Hadoop.

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.

Posted on June 28, 2012 by Jack Norris
Today marks one of the biggest announcements in the history of Hadoop. Google -- the pioneer of MapReduce, the company that ushered in the era of Big Data -- has now opened up their infrastructure so organizations can more effectively process and analyze their own Big Data. To enable more companies to do this successfully Google has partnered with MapR.

Posted on August 30, 2011 by Jack Norris
Today we announced our $20M Series B funding round led by Redpoint Ventures along with our existing investors Lightspeed Venture Partners and NEA. This announcement culminates an exciting four months of activity for MapR. It started in May, with our announcement about our strategic relationship with EMC (MapR will be the basis of the Greenplum Hadoop Distribution Enterprise Edition), and at the end of June we launched the GA version of our M3 and M5 editions of the MapR distribution for Apache Hadoop.

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