April 16, 2017 Leave a comment
Nick Heudecker and I received numerous questions during our April Hadoop webinar with several hundred attendees, and we have summarized and answered them.
IT Industry trends: technology, products, competition and the research industry.
March 16, 2017 Leave a comment
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.
February 24, 2017 Leave a comment
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.
January 22, 2017 Leave a comment
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.
November 2, 2016 Leave a comment
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.
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?”
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.
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.
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.
July 30, 2016 Leave a comment
There are now 15 projects supported by all 5 distributors I track, and several have had new releases since April. Kafka is the newest addition, and I believe the remaining 4-supporter offerings, Mahout and Hue, will remain unsupported by IBM, who has its own alternatives.