An empirical experment is reported that compares three indexing techniques used to help answer queries for a medium-sized database. The experiment compares memory and time utilization for B+ trees, superimposed codeword and perfect hashing indexing techniques. Costs for creating and querying the database are compared over a range at different page and buffer sizes for the database. We compare and contract the advantages and disadvantages of the indexing techniques.