SparkFun has launched the Data Logger IoT—9DOF, an ESP32-based data logger that transfers data to a microSD card or wirelessly to a preferred internet of things (IoT) service. Its features include:

• Auto-detection of over 50 Qwiic Sensors.
• Built on the capabilities of an ESP32 Processor.
• Provides log outputs in CSV or JSON formats.
• Has Wi-Fi to enable logging to a variety of network IoT platforms (currently supported services include MQTT, Amazon AWS IoT, Microsoft Azure, Mathworks ThingSpeak and URL-HTTP).

The Data Logger IoT—9DoF automatically scans, detects, configures and logs various Qwiic sensors plugged into the board. Specifically designed for users who need to capture a lot of data to a CSV or JSON file and get back to their larger project, it's as easy as saving the data to a microSD card or sending it wirelessly to an IoT service.

Source: SparkFun

"For over a decade, SparkFun has designed and built products aimed at simplifying the process of embedded device data logging, with the latest offerings delivering low-power, turnkey sensor connectivity to a set of SparkFun Qwiic boards," said SparkFun CTO, Kirk Benell. "Our new SparkFun Data Logger IoT product builds on this capability by adding network connectivity to deliver a true IoT experience. Paired with over-the-air firmware updates, the capabilities of the Data Logger IoT enables a modern IoT sensor capability out of the box — no additional development required."

Glenn Samala, SparkFun CEO, also commented, "The 9DoF version of the SparkFun Data Logger IoT is the first in a line of plug-and-play logging equipment that we see as the next iteration of our data logger product line. We are proud to provide our users with a board capable of fully utilizing the cloud for their data storage and recording needs based on their preferences for the network IoT platform. As more Qwiic boards are added to the Data Logger IoT's automatic detection, we intend to build this product line to be a go-to data capture resource for any user regardless of their coding experience."

The Data Logger IoT is now available for purchase here.