Top 5 IoT Development Platforms That Every Organisation Should Know About
Organisations today have been deploying IoT at a large scale, but it might be a challenge to focus on developing the right tools, services, applications and integrations with IoT. This is where IoT development platforms come into the picture. Building an IoT product can be a complex task and might need both hardware and software to be taken care of. An IoT platform allows easy provisioning, management and automation of IoT connected devices. It manages all the interactions between the hardware and the application layers. It does the work of connecting the hardware and comes with features to speed up the development of applications for connected devices. They make it easy for companies to build and deploy IoT products that solve real problems and create real value. In this article, we discuss 5 widely used IoT platforms for developers to deploy IoT solutions, in alphabetical order. 1. IBM Watson IoT: IBM is one of the leaders in the IoT space. It uses IBM Cloud and deploys analytics service for visualization and AI-driven analytics in the cloud. It offers advanced integration with machine learning capabilities. It provides businesses with an extensible catalogue of analytical functions to enrich, augment and gain insights from data in a simple and intuitive way. 2. Intel development boards: It is an end-to-end reference model and family of products that work with third-party solutions to provide a foundation for seamlessly and securely connecting devices. It performs actions such as sense, filter, process, analyze and actuate while securing and managing machines and data. It can support onboarding, monitoring, diagnostics and remote control of devices. It is designed to be highly secure and detects threats, thereby safeguarding any wrongdoings at most times. 3. Microsoft Azure IoT: The Azure IoT development platform by Microsoft embraces security from the endpoint. It has high reliability with 99.95 percent of uptime reliability and connects the data and apps through the cloud. It is open to use any device, OS, data source, software or service, on-premises, at the edge or in the cloud. Microsoft offers cost-effective if you decide to buy additional services. It is quite scalable and takes advantage of one of the largest partner ecosystems and enable millions of devices and terabytes of data in most regions worldwide. 4. Particle.io: Particle.io is an open source, affordable and reliable development platform for IoT. The cloud-connected microcontrollers of Particle.io are powered by Device OS, which is a lightweight operating system for embedded IoT devices. The user can manage and control his devices through the Device Management Console, and every device is exposed through a secure API. It is extremely secure since its security is built from the ground up and every message sent is encrypted. Each device is given its own private key, so unauthorized hardware cannot sneak into any message. It continuously monitors their servers and the security landscape to ensure that the devices stay locked down. 5. Thinger.io: Thinger.io is an open source platform that offers a scalable cloud infrastructure for connecting millions of devices and has easy to use the admin console to control these devices or integrate them in the business logic with its REST API. It provides a ready to use scalable cloud infrastructure for connecting things, is fast and secure and has a cloud infrastructure with an easy to use admin console. Makers can register for free accounts to start building their IoT projects in minutes, just using Thinger.io’s cloud infrastructure.
Organisations today have been deploying IoT at a large scale, but it might be a challenge to focus on developing the right tools, services, applications and integrations with IoT. This is where IoT development platforms come into the picture. Building an IoT product can be a complex task and might need both hardware and software […]
In this article, we discuss 5 widely used IoT platforms for developers to deploy IoT solutions, in alphabetical order.
["Developers", "IBM", "Intel", "IoT"]
["API", "machine learning", "Developers", "AI", "Azure", "R", "ML", "Scala", "REST API", "IBM", "analytics", "GAN", "Intel", "IoT"]
["AI", "machine learning", "ML", "analytics", "Azure", "R", "Scala", "API", "REST API", "GAN"]
Found a way to Data Science and AI though her fascination for Technology. Likes to read, watch football and has an enourmous amount affection for Astrophysics.