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
  • IC Workload
  • BI Workload

This study clearly demonstrates TigerGraph’s ability to run deep-link OLAP-style aggregation queries on a cluster of commodity machines with a graph of almost nine billion vertices and over 60 billion edges and returns results in under a minute. No other graph database vendor or relational database vendor has demonstrated equivalent analytical capabilities.