Cloud platforms for IoT offer seamless connectivity, data analysis, and management. They provide better connectivity, security, and scalability.
Moreover, these platforms help with the integration, enhancing the usability of the IoT app. As per a recent report by Research and Markets recent report, “IoT Cloud Platform Forecast 2023 – 2030,”
As firms approach 2024, they need the most reliable cloud solutions to use the full potential of the IoT app’s usability.
Here are the top 10 cloud platforms for IoT that companies must consider.
Google offers an end-to-end platform for IoT. It allows businesses to connect, manage, and store IoT data seamlessly. The platform makes operations rapid and easy, and the price is per minute, making it cheaper than other platforms.
With ML and AI, firms can anticipate business results via BigQuery multi-data cloud warehouse, where data is encrypted for security by default.
It provides vast storage, has minimal access time, and easily integrates with other Google services. It offers predictive support and tracks assets in real-time using ML.
While it also offers supply chain and logistics solutions, it has restricted programming language choices.
Microsoft Azure offers firms services to create IoT solutions, boosting profitability and productivity with pre-built connected solutions. The platform tracks untapped data and provides solutions for a small PoC.
The Suite is flexible. The pricing is done in 4 tiers based on how much IoT data the device generates. It integrates with SAP, Salesforce, Oracle, and WebSphere.
Moreover, it offers rich dashboards and visualization. The cloud platforms are secure and provide third-party services.
But, as firms start integrating the solution with other Microsoft services, the process becomes complex. Microsoft offers a pricing calculator to address the challenges. Furthermore, it is expensive and demands continuous management.
IBM Watson is a powerful platform driven by IBM’s Bluemix and hybrid cloud PaaS. It offers accessible sample apps and interfaces for IoT services. It allows beginners to try the sample to see if it meets the requirements.
With these solutions, firms can secure communication and process untapped data. It helps handle vast amounts of data and enhances customer service.
IBM Watson IoT Cloud Platform offers a combined view of IoT data from devices and applications. At the same time, it allows data storage, processing, and visualization.
IBM’s solid analytics and AI-driven insights help firms optimize IoT strategy and enhance efficiency. However, these IoT cloud platform needs continuous maintenance and have high costs.
Oracle IoT is a PaaS, cloud-driven offering that helps firms make critical business decisions. Oracle offers real-time IoT data analysis and endpoint management. It helps derive valuable insights from numerous sources using IoT data.
The solution also offers high-speed messaging where users can get instant notifications directly on their devices.
Pricing is calculated per device as it offers a set number of messages per device per month. However, it demands an additional cost if businesses exceed the given numbers.
The Salesforce IoT cloud platform, driven by Thunder, facilitates high-speed, real-time decision-making. While it helps collect data from devices, websites, and apps, the solution partners to trigger actions for real-time responses.
Salesforce with IoT delivers enhanced customer service, and it’s simple UI designs help firms connect with customers easily. However, it has security liability and restricted flexibility.
Cisco IoT is a mobile, cloud-based suite that offers solutions for mobile operators to provide IoT experience. The solution also provides flexible deployment options for the devices. It offers data and voice connectivity with device and IP session reports.
It helps businesses connect, manage, and analyze IoT data from diverse sources. With robust data storage, data processing, and data visualization, the solution assists firms in gaining valuable insights from IoT-generated data.
Furthermore, the IoT cloud solution provides industry-level cloud solutions, advanced security, edge computing, and centralized data management.
AWS IoT Platform helps businesses gather and send data to the cloud and analyze the information. This provides them with the ability to manage the devices. It lets firms easily interact with the application even when devices are offline and provides a secure gateway.
The solution is open and flexible and can easily integrate with Infrastructure as a Service (IaaS) offering. However, the platform demands a big learning curve and is not secure hosting essential enterprise applications.
Kaa is an open-source and multipurpose platform for full end-to-end IoT development. While KAA offers many IoT tools to implement in IoT use cases quickly, it costs risks and market time.
The solution reduces development time and allows third-party integration with solid data security. It has a customizable microservice that helps ensure the flexibility of IoT device and app management. However, it restricts the deployment of apps based on the PaaS model.
Also Read: Industry-Specific Cloud Platforms – Making the Transition to Cloud Easier
Thingspeak, an open-source IoT Platform, allows firms to gather and store sensor data in the cloud. The solution offers them the application to visualize and analyze the data in Matlab.
Moreover, companies can use Raspberry Pi, Arduino, and Beaglebone to send sensor data. At the same time, it lets firms create a separate channel to store data.
It is easy to visualize and offers additional features for Ruby, Node.js, and Python. However, Thingspeak API is challenging for beginners and has limited data uploading for API.
Predix, a secure and scalable IoT cloud platform, directly analyzes data and optimizes assets and operations. The solution offers key performance and real-time operational data, minimizing unplanned downtime.
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Apoorva Kasam is a Global News Correspondent with OnDot Media. She has done her master's in Bioinformatics and has 18 months of experience in clinical and preclinical data management. She is a content-writing enthusiast, and this is her first stint writing articles on business technology. She specializes in Blockchain, data governance, and supply chain management. Her ideal and digestible writing style displays the current trends, efficiencies, challenges, and relevant mitigation strategies businesses can look forward to. She is looking forward to exploring more technology insights in-depth.
