database-benchmark

Load test HTTP, database, and Redis on one clock and correlate their latency to pinpoint the real bottleneck — with a shareable HTML report

🎥 Hollywood: Towards a Large Movie Dataset for Database Benchmarking (AIDB @ VLDB’26)

Open-source database and middleware benchmark platform

🚀 数据库性能对比测试工具 | 支持 SQLite、MySQL、MariaDB、PostgreSQL、SQL Server、Oracle、MongoDB 等多种数据库

Realistic single-node PostgreSQL write saturation benchmark. Finds the actual committed-writes-per-second ceiling using ACID multi-statement transactions, 5 indexes, production timeouts, and fsync=on. Not pgbench.

Comparative benchmarking of relational and NoSQL databases through performance evaluation, scalability analysis, workload testing, and data visualization.

Local CLI to benchmark MySQL latency, joins, writes, transactions, and TPC-H-inspired workloads from your app server.

Concurrent TPC-H (SF100) benchmark of the DuckDB 2.0 quack server: how queries in flight and server threads trade off in throughput and latency. Reproducible sweeps, result checks across runs, plots, and a write-up of the findings

YCSB in Go, forked to benchmark zu (embedded property-graph DB) head-to-head against LadybugDB, Neo4j, DuckDB, SQLite and PostgreSQL

Interactive MariaDB TPC-C / TPC-H benchmark runner using HammerDB and Docker

Reproducible CognoDB graph database benchmark with traversal, lookup, aggregation, concurrency, and AI-powered performance analysis using hybrid BM25 + vector retrieval.

PostgreSQL-backed development benchmarks for database-framework execution and storage layers.

Run the Semurg benchmark comparisons on your own machine: one command, the same questions and data for every engine, answers checked.

Polyglot persistence lab: Laravel on MariaDB, MongoDB, and Redis with Docker, Prometheus, and Grafana.

Experimento comparativo de MongoDB y PostgreSQL JSONB con pedidos sintéticos, consultas analíticas y límites de CPU y memoria.

Agent skill for HammerDB TPC-C database stress testing against SQL Server. Supports SQL Server 2008-2022.

PostgreSQL scheduler benchmark on 500k rows: 356.667 ms to 0.196 ms (warm cache) using a B-tree index, a partial index, and LIMIT. Includes real EXPLAIN ANALYZE output.

Estudo comparativo de desempenho e armazenamento entre PostgreSQL puro e TimescaleDB (Hypertables, Continuous Aggregates e Compressão) aplicado a séries temporais de sensores IoT.