Gartner Blog Network

Category: 'lucene' Blog Posts

from the Gartner Blog Network

Hadoop Projects Supported By Only One Distribution

by Merv Adrian  |  August 9, 2015

The Apache Software Foundation has succeeded admirably in becoming a place where new software ideas are developed: today there are over 350 projects underway. The challenges for the Hadoop user are twofold: trying to...

Read more »

Now, What Is Hadoop? And What's Supported?

by Merv Adrian  |  July 2, 2015

Updated August 11, 2015 This perennial question resurfaced recently in a thoughtful blog post by Andreas Neumann, Chief Architect of Cask, called What is Hadoop, anyway?. Ultimately, after a careful deconstruction of...

Read more »

What Is Hadoop....Now?

by Merv Adrian  |  June 28, 2014

In February 2012, Gartner published How to Choose The Right Apache Hadoop Distribution (available to clients). At the time, the leading distributors were Cloudera, EMC (now Pivotal), Hortonworks (pre-GA), IBM, and MapR. These players all...

Read more »

Hadoop is in the Mind of the Beholder

by Merv Adrian  |  March 24, 2014

This post was jointly authored by Merv Adrian (@merv) and Nick Heudecker (@nheudecker) and appears on both blogs. In the early days of Hadoop (versions up through 1.x), the project...

Read more »

BYOH - Hadoop's a Platform. Get Used To It.

by Merv Adrian  |  October 9, 2013

When is a technology offering a platform? Arguably, when people build products assuming it will be there. Or extend their existing products to support it, or add versions designed to...

Read more »

Open Source "Purity," Hadoop, and Market Realities

by Merv Adrian  |  March 9, 2013

I don't often do a pure opinion piece but I feel compelled to weigh in on a queston I've been asked several times since EMC released its Pivotal HD recently....

Read more »

Hadoop 2013 - Part Four: Players

by Merv Adrian  |  March 8, 2013

The first three posts in this series talked about performance,  projects and platforms as key themes in what is beginning to feel like a  watershed year for Hadoop. All three are reflected in...

Read more »