The rapid pace of technology has led to the development of countless of scientific databases and search engines. We compared and contrasted Google scholar and semantic scholar and asked whether or not semantic scholar should be adopted as the preferred database and scientific literature search engine. we ran an experiment, using a specific keyword in order to test the effectiveness of both databases and reported the results. Both databases were effective and displayed relevant search results in regards to our searched keyword, however, Google scholar’s search results filtering mechanism seemed very basic in comparison to semantic scholar’s. Nevertheless, Google scholar has an advanced search mechanism unlike semantic scholar, which seems to make up for its search result page filtering shortcomings. Although the features of semantic scholar seem promising, we should not completely disregard Google scholar as semantic scholar is still in its infancy and it will take a few more development years in order to surpass Google scholar and become the supreme scientific literature search engine.