In a recent study, we measured TigerGraph’s performance using the respected Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB) Scale-Factor 10K dataset (8.86B vertices, 61.77B edges, 4.8TB raw data). We tested TigerGraph’s performance using three types of queries:
- IS Workload—all queries were answered in one to three seconds. The cluster size did not noticeably influence performance, since only a small part of the graph is touched.
- IC Workload—all queries were answered in three to nine seconds. The cluster size does not influence the performance much, since only a small part of the graph is touched.
- BI Workload—the majority of OLAP-style iterative and/or deep-link graph queries were answered in under one minute. The majority of queries exhibited linear scale-out performance.
