To investigate the scaling of query times in both the SQL and graph databases, we created three smaller versions of the original 23 database. The first database fragment was created by removing the last half of the rows in the sample-process table, ordered by 24 their process timestamps. We then deleted all rows in other tables that were no longer linked to a sample-process. This process 25 was repeated two more times to create two additional database fragments, with 3/4 and 7/8 of the rows in the sample-process 26 table deleted. Each fragment was migrated to Neo4j using the tools described above, resulting in a series of MPS-style and