Research

MachNation has published a report comparing the technical and functional aspects of Microsoft Azure IoT Central versus Azure IoT Hub and ancillary Azure services. In this report, MachNation Illustrates each IIoT solution stack in an architectural reference diagram Provides high-level scoring for each IIoT solution stack by 10 evaluation categories Provides a detailed write-up about each of the 10 technology-centric evaluation categories for the two IIoT solution stacks Defines and provides an example of what […]

MachNation’s 2022 IoT Application Enablement ScoreCard includes the following vendors (listed alphabetically): Amazon, Akenza, AVSystem, Blynk, Exosite, Google, Huawei, IBM, Losant, Microsoft, PTC, Siemens, Software AG, and SpimeSenseLabs.

This free webinar describes the top 5 IoT performance tests completed by MachNation using MIT-E Pf, our IoT simulation and performance testing software.

MachNation’s 2021 IoT Application Enablement ScoreCard includes the following vendors (listed alphabetically): AllThingsTalk, Amazon, Exosite, Google, Huawei, IBM, Losant, Microsoft, Rightech, Siemens, SpimeSenseLabs, Software AG, Zoho.

MachNation has published a detailed, vendor-agnostic functional architecture for IoT platforms. Comprised of 29 micro-services, this IoT platform architecture serves as a primary definitional tool for enterprises as they evaluate and select IoT platform partners.

Download a free copy of this first-of-its-kind technical study comparing the efficiency of LwM2M and MQTT on a typical IoT device.

Download this infographic to learn about the uses of IoT performance testing, discover the 5 steps to implement IoT performance testing, and see a little IoT performance testing data.

This is the Executive Summary to the 2020 IoT Application Enablement (AEP) ScoreCard that rates the following vendors (listed alphabetically): Amazon, Device Insight, Google, Huawei, IBM, Losant, Microsoft, PTC, Siemens, Software AG, and Zoho.

The 2020 IoT Application Enablement (AEP) ScoreCard rates the following vendors (listed alphabetically): Amazon, Device Insight, Google, Huawei, IBM, Losant, Microsoft, PTC, Siemens, Software AG, and Zoho.

Download MachNation’s MIT-E Pf product overview to learn more about performance and scalability testing of IoT platforms and solutions.

Amazon Web Services IoT Proof-of-Concept Evaluation Document. Results overview, testing methodology, architecture diagram, and detailed evaluations on the following categories: Access Control Analytics Data Management Device Management Edge Event Processing External Integration Monitoring Usability Productization / Architecture

MachNation and TIoTA Smart Construction Challenge whitepaper round 1. Presentation of winners

In this article, we discuss the 7 IoT application benefits of distributed ledge technology (DLT), the technology underpinning Blockchain and Bitcoin.    

In this short article, we define the 5 most common enterprise IoT platform personas (user types), describe their typical platform tasks, and identify best-in-class IoT platform UX for each persona. For the convenience of MachNation clients, we also link the UX methodology to workflows in MachNation’s MIT-E Complete.

In this article we define 3 IoT platform evaluation methods, identify when each should be used, outline the evaluation methodology, and provide benefits and drawbacks of each.

The Executive Summary from MachNation’s 2019 IoT AEP scorecard contains high-level findings from MachNation’s 2019 IoT AEP ScoreCard.

MachNation’s 2019 IoT AEP scorecard contains analysis of the following vendors: Amazon, Arm, Axonize, Ayla Networks, Bosch, ClearBlade, Device Insight, Huawei, IBM, Losant, Microsoft, Orange, PTC, SAP, Siemens, Sierra Wireless, Software AG, Telit, TheThings.iO, and Zoho.

In this article, we discuss ClearBlade’s recent partnership/sales relationship with Ingram Micro Canada.

In this short article, we describe a recent partnership between Bosch SI and Huawei to support the Chinese market.

In this whitepaper, MachNation discusses the technology of IoT data automation, orchestration, and intelligent APIs. We then provide 2 use cases describing deployments of the technology and its benefits.