New Benchmark Shows TigerGraph’s Capacity To Handle Big Datasets

In a recently published benchmark report, TigerGraph’s powerful graph analytics software was put to the test using the respected Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB) Scale Factor 30k dataset, which features 36TB of raw data with 73 billion vertices and 534 billion edges. This was, as far as we can ascertain, the first time a graph database has been tested at this scale.

The LDBC SNB benchmark is an industry-respected testing methodology for confirming a graph platform’s performance while executing complex business intelligence and advanced analytics tasks.

This new study clearly demonstrates TigerGraph’s ability to handle a big graph workload in a real production environment, where tens of terabytes of connected data with hourly or daily incremental updates is the norm.

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