Linked Data Benchmark Council Social Network Benchmark (36TB)

In a recent study, we measured TigerGraph’s performance using the respected Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB) Scale-Factor 30K dataset  (73B vertices, 534B edges, 36TB raw data).

We focused primarily on Business Intelligence (BI) workload tests during this benchmark: BI Workload — The majority of OLAP-style iterative and deep-link graph queries were answered in under a few minutes.

The data schema follows the property graph data model. Measurements during the benchmark, which we believe to be the first benchmark test using the LDBC-SNB SF-30K BI workload on a distributed graph database, included loading time, storage size, and query latency of the 20 BI queries on a cluster of 40 machines.

This benchmark test demonstrates TigerGraph’s capability handling large-scale updateable connected data with a set of demanding graph benchmark queries. To date, no other graph database demonstrated a comparable result.