by Lydia Leong | December 14, 2016 | Comments Off on Critical Capabilities launched, new Magic Quadrant starting
The Critical Capabilities for Public Cloud IaaS, 2016 has now been published. The Critical Capabilities is a technical assessment of public cloud IaaS offerings against a set of use cases — cloud-native applications, general business applications, application development environments, batch computing, and (new for 2016) the Internet of Things. It’s part of our integrated series of cloud IaaS assessments and complements our Magic Quadrant for Cloud IaaS (Gartner clients: see interactive version).
We are now launching right back into the Magic Quadrant cycle for 2017, with the goal of publishing a new Magic Quadrant in April 2017, and a new Critical Capabilities shortly thereafter.
A lot has happened since the early-2016 research process for our 2016 Magic Quadrant and Critical Capabilities cycle for this market. Multiple providers have launched new offerings and are phasing out their previous offerings, and there are some important new market entrants. We want to make sure that our research notes offer current representations of provider capabilities. (Usefully, a shift to April publication also gets us back to a schedule that aligns with our infrastructure & operations conference season.)
In previous years, we’ve issued an open invitation for the pre-qualification survey to all cloud IaaS providers. This year, we are not doing so; instead, we have issued invitations only to providers who we believe are highly likely to qualify.
If you are a cloud IaaS provider that did not receive an invitation, but you believe you are highly likely to qualify for inclusion, please email me at Lydia dot Leong at Gartner dot comto discuss it.
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.