This is a bachelor thesis concerning the response time and CPU effects of indexing in relational databases. Analyzing two popular databases, PostgreSQL and MariaDB with a real-world database structure using randomized entries. The experiment was conducted over Docker and its command-line interface without cached values to ensure fair outcomes. The procedure was done throughout seven different CRUD queries with multiple volumes of database entries to discover their strengths and weaknesses when utilizing indexes. The result chapter shows indicators that indexing has an overall enhancing effect on almost all of the queries. It is found that join, update and delete operations benefits the most from non-clustered indexing. PostgreSQL gains the most from indexes while MariaDB has a minuscule improvement in the response time reduction. A greater usage of CPU resources does not seem to correlate with quicker response times.