Lightning discharges are daily phenomena, yet, certainly incredibly powerful and fascinating. Fascinated by this powerful phenomenon, many scientists have engaged in understanding lightning discharges, in lightning protection and in lightning detection, in the course of time. In particular, the detection of lightning discharges, knowing the quantity, knowing the impact time and knowing the source location, seems to arouse the interest of many scientists and engineers again and again. Beside professional and commercial lightning detection systems, there are also private and non-commercial lightning detection systems. For all types of lightning locating systems there is always the question about their location accuracy and their detection efficiency in terms of the percentage of the detected lightning relative to the lightning that occurred in nature. In this thesis a low-cost lightning detection sensor, developed and operated by Blitzortung. org, was assembled, tested and analysed regarding the sensor performance. Blitzortung. org is a private internet community operating a low-cost and non-commercial lightning detection network. The sensor cannot be purchased but needs to be assembled by the members of the community. The main and specific components are offered as a starter kit to the members by the community. In a first step we have organized all necessary components, assembled the sensor and performed initial technical tests of functionality. Obviously, assembling the sensor requires relatively advanced technical and electronic skills, much more than you can expect from a typical layman. After completion of the sensor hardware we have compared and analysed in a second step the sensor reported lightning data with the data of the Austrian lightning detection and information system ALDIS. Both systems are GPS time synchronized and we could search for time matched events based on the GPS timestamp. We have developed tools necessary for this task, such as a tool to readout and convert the data stream sent by the sensor to the central server in hexadecimal format. The detection range of the sensor was up to a distance of 900 km, but only for about 20% of the strokes located by ALDIS we could find a time correlated message delivered by the sensor. However, the sensor performance depends on the gain and threshold settings and the thunderstorm activity (distance of the storm to the sensor and flash rate). Within a distance range of 50 to 250km from the sensor site the sensor reported with best performance and stroke-reports for about 60% of the strokes located by ALDIS were received. Most of the reported strokes were low-current strokes with peak currents between 5 and 20 kA. In addition to the sensor evaluation we have also made a direct comparison of the resulting lightning stroke data provided by Blitzortung.org and ALDIS for one thunderstorm day in Austria. Although the overall lightning activity displayed on a geographical map looked more or less similar for both networks, we observed significant differences in the two data sets when comparing them stroke by stroke. Only for 11% of the ALDIS reported strokes (CG and CC) we could find a time correlated stroke in the Blitzortung.org data set.