Abstract
Polygraph is a tool to quantify application anomalies attributed to violating atomicity, isolation, and linearizability properties of transactions. It is a plug-n-play framework that includes visualization tools to empower an experimentalist to (a) quickly incorporate Polygraph into an existing application or benchmark and (b) quantify the number of anomalies. We demonstrate Polygraph using existing benchmarks, including TPC-C, SEATS, TATP, YCSB, and BG. We highlight Polygraph as an on-line tool by showing it scales for almost all benchmarks to process their transaction log records faster than their rate of production.