We are happy to annonunce new audited results for the SNB Interactive workload, achieved by the open-source GraphScope Flex system.

The current audit of the system has broken several records:

• It achieved 130.1k ops/s on scale factor 100, compared to the previous record of 48.8k ops/s.
• It achieved 131.3k ops/s on scale factor 300, compared to the previous record of 48.3k ops/s.
• It is the first system to successfully complete the benchmark on …

Following the publication of ISO/IEC GQL (graph query language) in April 2024, LDBC today launches open-source language engineering tools to help implementers, and assist in generation of code examples and tests for the GQL language. See this announcement from Alastair Green, Vice-chair of LDBC.

These tools are the work of the LDBC GQL Implementation Working Group, headed up by Michael Burbidge. Damian Wileński and Dominik Tomaszuk have worked …

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 …

2023 has been an eventful year for us so far. Here is a summary of our recent activities.

1. Our paper The LDBC Social Network Benchmark: Business Intelligence Workload was published in PVLDB.

2. David Püroja just completed his MSc thesis on creating a design towards SNB Interactive v2 at CWI’s Database Architectures group. David and I gave a deep-dive talk at the FOSDEM conference’s graph developer room titled The LDBC Social Network …

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 …

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 …

LDBC is proud to announce the new LDBC Graphalytics Benchmark draft specification.

LDBC Graphalytics is the first industry-grade graph data management benchmark …

Apache Flink [1] is an open source platform for distributed stream and batch data processing. Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink also builds batch processing on top of the streaming engine, overlaying native iteration support, managed memory, and program optimization.

Flink offers multiple APIs to process data …