Best Industrial IoT Platforms for Amazon DynamoDB

Compare the Top Industrial IoT Platforms that integrate with Amazon DynamoDB as of December 2025

This a list of Industrial IoT platforms that integrate with Amazon DynamoDB. Use the filters on the left to add additional filters for products that have integrations with Amazon DynamoDB. View the products that work with Amazon DynamoDB in the table below.

What are Industrial IoT Platforms for Amazon DynamoDB?

Industrial IoT (IIoT) platforms are used to connect industrial equipment and systems with internet-enabled devices in order to collect, monitor, analyze, and manage data. These platforms allow users to quickly respond to changes in their environment and maintain high levels of operational efficiency. They are typically integrated into existing IT infrastructure, providing a secure and unified environment for intelligent automation. A variety of analytics tools can also be used on these platforms to help optimize operations. Compare and read user reviews of the best Industrial IoT platforms for Amazon DynamoDB currently available using the table below. This list is updated regularly.

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    AWS IoT

    AWS IoT

    Amazon

    There are billions of devices in homes, factories, oil wells, hospitals, cars, and thousands of other places. With the proliferation of devices, you increasingly need solutions to connect them, and collect, store, and analyze device data. AWS has broad and deep IoT services, from the edge to the cloud. AWS IoT is the only cloud vendor to bring together data management and rich analytics in easy-to-use services designed for noisy IoT data. AWS IoT offers services for all layers of security, including preventive security mechanisms, like encryption and access control to device data, and service to continuously monitor and audit configurations. AWS brings AI and IoT together to make devices more intelligent. You can create models in the cloud and deploy them to devices where they run 2x faster compared to other offerings. Optimize operations by easily creating digital twins of real-world systems. Run analytics on volumes of IoT data easily—without building an analytics platform.
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