Developer Satisfaction Tracker
IoT Cloud Platforms
Based on the experiences of 880+ IoT developers who used IoT cloud platforms in the last year, we provide deep insights on the strengths and weaknesses of vendor offerings, the market gaps given what developers are after, and the profiles of those who use, are satisfied with and recommend the top vendors. This report is based on the responses of IoT developers in our November-December 2016 Developer Economics survey.
In our Machine Learning Platforms Developer Satisfaction Tracker we benchmark 14 leading ML platforms based on the responses of 2,300+ data scientists and machine learning developers. We provide deep insights in the strengths and weaknesses of vendor offerings based not on analyst opinions but rather on developer satisfaction across 18 platform attributes. We also look into recommendation patterns, discuss market gaps given what developers are after and also profile the groups that use versus not use, are satisfied versus not satisfied and recommend versus not recommend each of the top ML platforms.
Containers have been used to improve application deployment and data centre operations by some cloud industry leaders internally for many years. The release of the open source Docker project in 2013 was the trigger for much broader interest. The container looks set to become an extremely popular abstraction for managing application deployment and scaling, possibly replacing the virtual machine as the most popular of all. Several Container-as-a-Service (CaaS) vendors have emerged offering to handle various aspects of container operations, leaving developers to focus on building their apps.
The arrival of early augmented reality (AR) platforms like Microsoft’s HoloLens, and the beginnings of mainstream virtual reality (VR) platforms, like Facebook’s Oculus, Google’s Daydream, SteamVR, and Playstation VR, has created a new battleground for the 3D engines to win over developer hearts and minds. In the report we can get a look at the early leaders in AR and VR, as well as how each engine is placed in the mobile and desktop markets. We’ll see usage, awareness, selection criteria, adoption, satisfaction, and recommendation data for all of these types of platform.
Cross Platform Tools
Find out what 2,427 mobile developers and 1,816 desktop developers think of their CPTs. We’ve collected and analysed their tool usage, plus satisfaction, reasons for adoption, rejection and recommendation across 13 different attributes. This data reveals the specific strengths and weaknesses of each tool, as well as identifying opportunities and threats for anyone with an interest in cross-platform development.
The research service benchmarking all key Voice Platform solutions, based on hard data from the experiences of 1,300+ mobile and IoT developers. The Developer Satisfaction Tracker explores when and why developers choose competitor products over yours - and how to fix that. Our data proves you are the leader or helps you become one.