Customer Success Story: Technologisches Gewerbemuseum HTL Wien 20
Tobias Berthold, a student at TGM and part of a four-person team working on a diploma project they’ve titled “SMART Stinki” wrote to tell us how they’ve implemented InfluxData products in their project. The SMART Stinki team is working to develop various modules for the IoT platform ioBroker to automate their customer’s home in a number of ways. The focus of their project is to improve home power-efficiency (i.e. solar power system, house battery), usability and clarity using an app to control, configure and interact with the implementations they’ve developed.
The SMART Stinki team trusted InfluxDB to be their dedicated time series database for this home automation project. They use InfluxDB to store the time series data retrieved from IoT sensors throughout the household. Tobias reported that the team appreciated how fast and reliable InfluxDB is in saving and providing the data they need for their project. Beyond its storage capabilities, the team also appreciates how highly compatible it is with other programs they use such as Grafana!