Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Graph Data Council (GDC), formerly the Linked Data Benchmark Council (LDBC), is a UK-registered nonprofit organization. Its core work is defining standardized benchmarks for the graph data management field and building a community around graph processing technologies. Its scope covers not only Linked Data, RDF, and SPARQL, but also property graphs, ISO GQL, SQL/PGQ, and SQL/PGQ extensions in relational databases.
GDC maintains the LDBC benchmark suite and emphasizes benchmark relevance and fairness. The main benchmarks mentioned include the Financial Benchmark, aimed at distributed transactional graph databases; the Social Network Benchmark, which includes analytical and transactional workloads; the Semantic Publishing Benchmark; and Graphalytics for graph analytics. It also provides freely downloadable benchmark datasets and oversees formal benchmark audits. Only after passing an audit may vendors or institutions publish trademark-protected “LDBC Benchmark Results.” In addition, GDC promotes standard graph query languages such as GQL and SQL/PGQ, and provides open-source GQL tools, including an ANTLR grammar and editor.
GDC is funded through membership fees and audit fees. Membership is calculated by calendar year, with mid-year joiners charged on a prorated basis for the remaining full months. Joining requires submitting an application, which is reviewed by the Board of Directors and the Policy Council, with a target processing time of four weeks. The text does not disclose specific membership fees or audit costs.
Its strengths are its neutral, nonprofit positioning and a benchmark system that covers multiple scenarios, including transactions, analytics, finance, semantic publishing, and graph analytics. Its software projects use the Apache License v2. It also has ties to ISO, and members can access draft GQL/SQL-PGQ standards. The limitations are that it is not a ready-to-use developer SaaS product, formal audits require the test sponsor to be a GDC member, pricing information is not transparent, and its direct value to general business developers is limited.
It is suitable for graph database vendors, knowledge graph platform teams, distributed graph database R&D teams, database performance engineers, and researchers who need to use standard benchmarks in papers or technical reports.
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