Welcome to our interactive decision tree platform! This tool was originally developed as part of a bachelor's thesis aimed at helping users find the most suitable database for their specific needs. The decision tree was meticulously designed to guide users through a series of questions, ultimately recommending the best database based on their unique scenario.

The initial project, born out of academic research, focused solely on databases. However, the true strength of this platform lies in its modular and flexible design. The underlying code is open-source and highly adaptable, allowing it to be forked and repurposed for a wide range of applications. As a result, what began as a tool for database selection may now serve as a decision-making aid for entirely different topics — perhaps you're here to find the right programming language for a project, the best cloud service, or something else entirely!

Kjell Hanken
Arbeitsgruppe Data Science
Universität Oldenburg
Fakultät II – Department für Informatik
Escherweg 2, 26121 Oldenburg, Germany