domel/metadata: Neo4j Metadata Benchmark: D1–D3 Datasets + Load & Query Runner (v1.0)
Abstract
This release provides a reproducible experimental pipeline for benchmarking metadata-heavy property graph encodings in Neo4j. Included: Deterministic synthetic dataset generator (D1-S, D2-M, D3-L) Four encoding variants: gpg, gpge, gpgp, gpgc Ready-to-run APOC import scripts (load_*.cypher) Automated benchmark runner (load time, store/tx disk size, workload query-time overhead) CSV result logging to neo4j_load_benchmark_results.csv Online Appendix with full workloads (WQ-A–WQ-D) and loading workflow Recommended environment: Neo4j 5.26.x + APOC 5.x.y Python 3.10+ with neo4j driver
Fields of Study & Subjects
Research Data Management Practices
Scientific Computing and Data Management
Library Science and Information Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026