IBM Ends Hadoop Distribution, Hortonworks Expands Hybrid Open Source

IBM has followed Intel and EMC/Pivotal in abandoning efforts to make a business of Hadoop distributions, and followed Microsoft in making Hortonworks its supplying partner. At the former Hadoop Summit, now called Dataworks (itself a sign of the shift from Hadoop-centric positioning), IBM announced it will discontinue its IBM Open Platform/BigInsights offering, and will instead OEM Hortonworks’ HDP.

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Hadoop FAQs – April Webinar Q&A

Nick Heudecker and I received numerous questions during our April Hadoop webinar with several hundred attendees, and we have summarized and answered them.

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Hadoop Commercial Support Component Tracker – March 2017

Stack expansion has ground to a halt. The last time an Apache project was added to the list of those most supported by leading Hadoop distribution vendors was July 2016, when Kafka joined the other 14 then commonly included. Since then, no broad support for new projects has emerged.

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Google Cloud Spanner Enters With a Splash

This post was authored by Rick Greenwald, Merv Adrian and Donald Feinberg

Last week, Google launched its internal Cloud Spanner DBMS into a public beta. Claiming to be both strongly consistent (like a relational DBMSs) and horizontally scalable (like NoSQL DBMSs), Cloud Spanner’s internal use has given Google time to exploit unique physical characteristics of its cloud.

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Microsoft Enters 2017 With 45 Offerings in Magic Quadrants

In Q1 2017, as always, we reset this chart – no bold or italic for new entries. As of January 20, no new MQs had yet been published in 2017 featuring Microsoft, so the picture below lays out a new picture for the year ahead. An addition or two late last  year raise the total to 45 included products.

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More Microsoft Offerings in Magic Quadrant Listing

In Q3 2016, three additional Microsoft offerings were covered in Magic Quadrant reports: Disaster Recovery as a Service, Application Delivery Controllers and Application Release Automation.

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Symposium Notes – Day Four Returns to Data Security, and to Hadoop

Thursday, the final day, reinforced a theme for the week: data security is heating up, and organizations are not ready. It came up in half of today’s final 10 meetings.

“Is my data more secure, or less, in the cloud?”

“Does using open source software for data management compromise how well I can protect it?”

“I’m a public utility – can I put meter data in the cloud safely? What about if it is used to drive actions at the edge?”

“I’m using drones for mapping and the data is in the cloud – am I exposed?”

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Symposium Notes – Day Three Features Data Assembly

With 24 meetings under my belt from the first two days at Orlando Symposium, Wednesday’s 13 (and a presentation) didn’t look quite as daunting. It began well, with enough time for a muffin and some tea at 730 AM in the analyst workroom near to the cubicle I’d spend the day in. Then I launched right in to a couple of predictive analytics discussions.

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Symposium Notes – Day Two Jumps in the (Data) Lake

My second day of Symposium 1:1 meetings continued the “security of big data” theme (4 of the day’s 15 conversations – usually, but not always, about HDFS-based data), with a data lake flavor. The concerns were retroactive – often driven by an internal audit. “We built it, now how do we secure it?” is a common question. And “it’s almost all structured data so far,” confirming what Gartner found in the 2016 big data survey. Vendor conversations (4 of the day’s 1:1s) also included a look at security – “how much is this going to matter to my customers? Who can I partner with?” has been a typical thread, and I met with a security consultancy whose practice seems to be ramping rapidly.

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Symposium Notes – Day One Features Hadoop

Gartner Symposium is always exciting, challenging and stimulating for analysts; we get to interact with many organizations in a brief time during 1on1 meetings scheduled based on our coverage. It offers an fascinating snapshot of what is on people’s minds – enough so that they have traveled to a conference in part to have that discussion.

Today, October 17, 2016, was the first full day of the 2016 Orlando Symposium and over half of my meetings were about Hadoop.

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