If you need a service to process and analyze IoT sensor data in the cloud, Cloud IoT Core is a good choice. It securely connects and manages data from devices around the world using Google Cloud infrastructure, and it's got a lot of built-in power for IoT work that can be augmented with AI and ML for more sophisticated analysis and automation. It's good for many industries, and can be used to address specific use cases like optimizing supply chains and improving manufacturing processes.
Another service worth a look is ThingSpeak, which lets you capture, analyze and act on real-time data streams in the cloud. It supports a range of hardware platforms like Arduino and Raspberry Pi, and has features like private and public channels, RESTful and MQTT programming interfaces, and data visualization with MATLAB. ThingSpeak is good for IoT projects, research and real-world use, and offers free and paid options for the service.
If you want a service that can handle the full range of data collection, transmission and analysis needs, check out Lantronix. The service spans a range of industries, including health care, manufacturing and transportation, and has features like data normalization, visualization and centralized management through ConsoleFlow. Lantronix also offers turnkey solutions, IoT gateways and device management tools, so it's flexible for different business needs.
Last, Viam is a cloud-based service to build, monitor and manage smart machines. It can collect real-time and historical telemetry data, predict fleet maintenance and use AI, so it's good for a range of industries and use cases. With its open-source design and pay-as-you-consume pricing, Viam is a relatively cheap and flexible option for optimizing operations and speeding up developer velocity.