Benchmarks

We are delighted to announce the official release of the initial version (v0.1.0) of Financial Benchmark (FinBench).

The Financial Benchmark (FinBench) project defines a graph database benchmark targeting financial scenarios such as anti-fraud and risk control. It is maintained by the LDBC FinBench Task Force. The benchmark has one workload currently, Transaction Workload, capturing OLTP scenario with complex read queries that access the …

LDBC SNB provides a data generator, which produces synthetic datasets, mimicking a social network’s activity during a period of time. Datagen is defined by the charasteristics of realism, scalability, determinism and usability. More than two years have elapsed since my last technical update on LDBC SNB Datagen, in which I discussed the reasons for moving the code to Apache Spark from the MapReduce-based Apache Hadoop implementation and the …

We are delighted to announce the set up of the Financial Benchmark (FinBench) task force.

The Financial Benchmark (FinBench) project aims to define a graph database evaluating benchmark and develop a data generation process and a query driver to make the evaluation of the graph database representative, reliable and comparable, especially in financial scenarios, such as anti-fraud and risk control. The FinBench is scheduled to be released in the …

Speeding Up LDBC SNB Datagen

Tags:
DATAGEN , SNB

LDBC’s Social Network Benchmark [4] (LDBC SNB) is an industrial and academic initiative, formed by principal actors in the field of graph-like data management. Its goal is to define a framework where different graph-based technologies can be fairly tested and compared, that can drive the identification of systems’ bottlenecks and required functionalities, and can help researchers open new frontiers in high-performance graph data …