As developers of applications or some sort of data handling, we are obligated to contract some kind of data. Filtering techniques have a lot of power when it comes to reducing the unnecessary data back to the client. With these techniques the developer can implement a better performance of the filtering and end up speeding up the process of loading into the sites. And ultimately increasing the user's experience of the software, which increases the quality of the application.

A set of limitations were formed to provide the developing environment. Then we had to adjust and create what files the techniques needed to perform against. Some of the selected technologies had gotten deeper research behind them which led to a conclusion on what performed better within the technique.

The results gave a clear measurement that then got concluded with the other techniques. With smaller sized projects the technique did not matter too much as the difference was ~0.19s between the lowest and highest results. While going to a mid sized project it gave a clearer sign that AWK technique started to lose quality. For larger projects it showed a potential overlap for JavaScript to pass both AWK and MySQL in further studies.

Conclusion is that the JavaScript filtering technique overall is better used for the set environment. For smaller and larger size of projects used.