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Hortonworks News & Analysis

Why Microsoft's Reign Will Continue

Leave it to Box CEO and chief Microsoft critic Aaron Levie to spread the word, check out his tweet yesterday:

Obviously Levie was tuned into the same Microsoft Customer data event as we were, and we agree with his conclusion -- Microsoft has an impressive (data) play.

MapR Ups Its Hadoop Game with Databricks' Spark

For now, MapR seems to be sitting on the sidelines of the “My Hadoop distro is better than yours” game, and as Jack Norris, the company’s CMO puts it, “we’re concentrating on doing what’s best for our customers.” (Who wouldn’t say something similar?)

It’s with that in mind that they announced today the addition of the Apache Spark stack to their distribution. Norris says Spark will add speed, programming ease and real time processing abilities to their current offering. 

Big Data Bits: It's a Hadoop Centered World

Hadoop sits at the center of big data. So does the news around the ecosystem, there’s a lot of it. And no time to digress …

Big Data Crawls Out of the Trough in 2014 #GigaOmLive

chelsea piers

If you’ve followed the big data hype long enough, you know that every year -- since 2011 -- was supposed to be big data’s big year. And that at the end of every year since, the pundits have said “It didn’t happen this year. Next year will be big data’s big year.” 

Our 2 Cents on Forrester Wave for Big Data Hadoop Solutions

Analyst reports can be a big bore -- the Forrester Wave: Big Data Hadoop Solutions, Q1 2014 ($2495 fee) is not.

Its authors, Mike Gualtieri and Noel Yuhanna, have done a bang-up job writing in simple English and giving a spot-on overview of what the market looks like:“cutthroat,” where “pure-play upstarts (Cloudera, Hortonworks, MapR) must capture market share quickly to make venture investors happy” and in which “stalwart enterprise software vendors (IBM, Pivotal, Teradata) must avoid being disintermediated.” 

No Comprendo Hadoop? No Problema [Video]

You can call data scientists plenty of things, including the often overused term from 2012 … sexy. But waiting in line for their services is not. Business users need to make decisions on the spot, or they risk losing their competitive advantage.

Who Leads the Big Data Market? (Probably Not Who You Think)

Go to a big data tech conference, approach any ten people and ask them to name the technology that’s driving the industry. Most of them will say Hadoop.

Ask them to name the vendors who are driving Hadoop’s development, adoption and growth and they’ll say Cloudera, Hortonworks, MapR and they might even throw Pivotal, Intel, Microsoft HDInsight or WANdisco onto the list

Next, ask them which technology vendors are reeling in the bucks while riding the big data wave and they’ll probably name a few of the aforementioned providers. And get this: if they do that, they’ll be wrong.

Altiscale has the RX for Hadoop Headaches

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Hadoop isn’t easy.

Sure, there are vendors out there who will tell you that it is ... Just take this course or that exam. Work with us side-by-side as we “elephantize” your Enterprise, and presto you’re a pro.

No, you’re not.

Not yet, anyway. Regardless of what any of the 268,000 hits you get when you enter the term “Hadoop training” into Google happens to say. And it’s not that these folks are trying to mislead you — they’ve put their heads and their hearts into encouraging and enabling the widespread adoption of Hadoop.

It’s just that becoming a master at Hadoop (Wikipedia definition: open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware) takes time, experience, trial and error and enough opportunities to generate a continuous record of success. But that’s not all. As a new technology with a vibrant Open Source community, Hadoop keeps changing, so it’s hard to keep up.

Wanna Race? Cloudera Says Impala is Faster than Hive and Proprietary RDMS

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Cloudera made a big splash at O'Reilly Strata + Hadoop World 2013 in New York City last October when it announced its Enterprise Data Hub strategy. It wants it to be the place where companies park all of their data, regardless of its format, and from which they can use BI tools, whichever they happen to be.

At the time, some of Cloudera’s Hadoop competitors were a bit taken aback — not by  the idea of an Enterprise Data Hub (MapR suggested it more or less already offered one. Hortonworks sort of ridiculed the term, adding that it preferred the word “platform,” as in Hortonworks Data Platform), but by Cloudera’s insistence that it no longer saw them as competition.

Cloudera CEO Tom Reilly told GigaOm’s Derrick Harris that the company has set its sights on a larger market, the one in which IBM, Pivotal (and we’d guess HP, Teradata and so on) are the established players. So what's new today?

CMSWire's Top 10 Hits of 2013: Big Data

Top 10

Yes, Big Data was a Big Buzzword in 2013. The technology and business press — and even mainstream media — got a piece of the action, churning out article after article about what Big Data means to you. And that's part of the problem. Big Data means lots of things to lots of people.

It might be better to think of big data as big analysis, because that's really what's happening here. It's not about the data itself, but about analyzing the data to gain insights and business value, across industries and verticals. CMSWire has kept you up-to-date on the big data trend all year — and here are our Top 10 big data stories of the year.

The End of Data Scientists and Other Predictions

end of data scientists

We don't have a crystal ball at CMSWire — but we're curious about the future. So we’ve collected predictions from some our favorite analytics firms like Tableau, Splunk, Alteryx, Alpine Data Labs and SAP, as well as insights from the Music Industry Association and Ad Age.

We’re sharing a few of them with you. For the record, these prophesies do not belong to us, nor do we necessarily agree with them.

Big Data Goes Mainstream in 2014 - 6 Major Vendors Weigh In

There are some pretty safe bets to make around big data in 2014, so we’re going to make those and leave it to some of the leading big data innovators -- Cloudera, Hortonworks, MapR, Microsoft, Pivotal and SAP go out on the limb. 

A Look Back at 2013: The Year Big Data Work Began

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If 2012 was the year your grandmother instigated big data conversations at the dinner table (yes, the “buzz” around it actually was that big), then 2013 will go down in history as the year the enterprise began to make serious plans around it.  

CIOs are no longer talking about big data in terms of “it’s something we’ve got to do,” instead they’re making plans, putting big data projects into their budgets and writing checks.

How Is Hadoop Like Teenage Sex? [Infographic]

How is Hadoop like teenage sex? It’s an old riddle whose answer is changing quickly. If you don’t already know what it is, read on. And if you do, read on anyway (and check out the Infographic) because we have some marvelous visual statistics to share.

Big Data Bits: The Strata Edition - Beyond Hadoop Distributions

Welcome back my friends to the show that never ends …

Even though we’ve left the Strata + Hadoop World conference held in New York City last week, the notable news we didn’t report keeps buzzing in our ears, reminding us that we need to share it with you.

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