PostgreSQL Benchmarking Toolkit
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Updated
Aug 15, 2026 - Python
PostgreSQL Benchmarking Toolkit
Trying PostgreSQL parameter tuning using machine learning.
Benchmarking Postgres: v16 vs 18, Docker vs k8s, and more
Transparent PostgreSQL hosting at cost + 25%. No hidden fees. Published benchmark results, operational SOPs, and pricing breakdowns. See real multi-tenant performance (297 TPS @ 13.45ms with 5 concurrent customers). Pre-launch.
pgbench docker image
Simplified bench process for PostgreSQL database using Ansible
A small script for an interactive configuraton experience for benchmark tests against remote (and local) postgresql instances using pgbench.
Postgres load benchmark CLI — named workloads (oltp/read/write/mixed), structured JSON results
A nit comparison between offset-based pagination and keyset pagination.
Hands-on PostgreSQL guide with Docker labs covering internals, performance, replication, HA, backup/recovery, and advanced SQL
PostgreSQL 18 tuning experiments: OS/DB settings, pooling, replication, WAL, autovacuum, query plans — stands, measurements, graphs, conclusions
The benchmark harness for rupg. ClickBench, TPC-H, TPC-C, YCSB and pgbench against PostgreSQL 19, ClickHouse and DuckDB on the same machines, with cgroup resource measurement and the reporting rules that decide what a number is allowed to claim.
Reproducible PostgreSQL benchmarks with environment evidence and self-contained HTML reports
PostgreSQL zero to hero: SQL → indexes → MVCC → internals → Docker/VPS → replication → pgbench. Mermaid + runnable labs.
Profile-driven PostgreSQL workload emulator producing backend activity, query plans, log events, and system statistics for diagnostic analysis.
To associate your repository with the pgbench topic, visit your repo's landing page and select "manage topics."