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FinBench is a financial benchmark developed by Ant Group under the LDBC umbrella, providing a comprehensive graph system evaluation framework that includes background, scenarios, design, chokepoints, and future plans, aimed at guiding database selection for financial use cases.
The September 1, 2022 Graph Intelligence Forum at the World AI Conference in Shanghai gathered leading researchers and industry experts to discuss advances in graph computing, learning, and databases, announced the open‑source TuGraph as the world’s fastest graph database, and emphasized standards, temporal graphs, and industry‑academia collaboration.
The LDBC has approved the world’s first financial graph database benchmark, FinBench, a collaborative effort led by Ant Group to provide a rigorous, open‑source testing suite that simulates real‑world financial workloads and fills a critical gap in graph database evaluation.
This article explains the importance of selecting the right graph database for knowledge‑graph systems, compares major graph‑DB options, outlines essential characteristics of effective benchmarks, and describes the development of a financial‑graph benchmark based on LDBC standards.