The LDBC Financial Benchmark
Shipeng Qi, Heng Lin, Zhihui Guo, G\'abor Sz\'arnyas, Bing Tong, Yan, Zhou, Bin Yang, Jiansong Zhang, Zheng Wang, Youren Shen, Changyuan Wang,, Parviz Peiravi, Henry Gabb, Ben Steer
TL;DR
The LDBC Financial Benchmark (FinBench) is a new graph database benchmark designed for financial scenarios like anti-fraud and risk management, focusing on OLTP workloads with complex and simple queries.
Contribution
It introduces a specialized benchmark for financial graph data, detailing data, workload, queries, and usage instructions, distinct from existing benchmarks.
Findings
Defines a new financial graph benchmark with OLTP workload
Provides detailed data and query specifications
Guides users on benchmark implementation and analysis
Abstract
The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) is a new effort that defines a graph database benchmark targeting financial scenarios such as anti-fraud and risk control. The benchmark has one workload, the Transaction Workload, currently. It captures OLTP scenario with complex, simple read queries and write queries that continuously insert or delete data in the graph. Compared to the LDBC SNB, the LDBC FinBench differs in application scenarios, data patterns, and query patterns. This document contains a detailed explanation of the data used in the LDBC FinBench, the definition of transaction workload, a detailed description for all queries, and instructions on how to use the benchmark suite.
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Taxonomy
TopicsGraph Theory and Algorithms · Semantic Web and Ontologies · Advanced Database Systems and Queries