Comparison of Approaches for Querying Chemical Compounds.

Chemical compounds form a database with specific features that can be utilized for more efficient query processing. Currently, there exists no comparison of performance and memory usage of the respective and most efficient approaches on the same data set. In this paper, we address this lack of information and we create an unbiased benchmark of the most popular index building methods for subgraph querying of chemical databases. In addition, we compare the results with the performance of an SQL and a graph database for which there exist various unconfirmed hypotheses on their efficiency.