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SparkFun Launches Datalogger IoT - 9DoF to Deliver True Plug-and-Play Data Logging Experience

This board comes preprogrammed to automatically log data from sensors to network IoT platforms — all without writing a single line of code!

Sponsored by SparkFun
9 months agoInternet of Things
Watch Rob show off the new DataLogger IoT - 9DoF!

SparkFun is proud to launch the DataLogger IoT - 9DOF, an ESP32-based data logger that seamlessly transfers data to a microSD card or wirelessly to your preferred Internet of Things service. Its features include:

● Auto-detection of over 50 Qwiic sensors — we are constantly adding more.

● 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).

“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 growing set of SparkFun Qwiic boards," says Kirk Benell, SparkFun CTO. “Our new SparkFun DataLogger 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 DataLogger IoT enables a modern IoT sensor capability out of the box — no additional development required.”

Glenn Samala, SparkFun CEO, also comments, “The 9DoF version of the SparkFun DataLogger 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 DataLogger 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 DataLogger IoT is now available for purchase here.

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