PostgreSQL Benchmarks
Comprehensive performance testing results and analysis across different PostgreSQL configurations, hardware setups, and workload patterns.
Hardware Benchmarks
Performance across different CPU, memory, and storage configurations
Configuration Benchmarks
Impact of PostgreSQL settings on performance
Workload Benchmarks
Performance under different application patterns
Featured Benchmark: PostgreSQL 16 vs 15 Performance
Test Configuration
- Hardware: 16 vCPU, 64GB RAM, NVMe SSD
- Dataset: 10GB TPC-B workload
- Connections: 100 concurrent clients
- Test Duration: 30 minutes
Key Results
+15%
TPS Improvement
-8%
Latency Reduction
+12%
Query Throughput
Performance Comparison
Latest Benchmark Results
| Test Name | PostgreSQL Version | TPS | Avg Latency (ms) | 95th Percentile (ms) | Date |
|---|---|---|---|---|---|
| Standard TPC-B | 16.1 | 9,775 | 10.2 | 28.5 | 2024-01-15 |
| Heavy Read Workload | 16.1 | 15,240 | 6.5 | 18.3 | 2024-01-14 |
| Write-Heavy OLTP | 16.1 | 7,890 | 12.7 | 35.2 | 2024-01-13 |
| Mixed Workload | 16.1 | 11,450 | 8.7 | 24.1 | 2024-01-12 |
| Standard TPC-B | 15.5 | 8,500 | 11.8 | 31.0 | 2024-01-11 |
Benchmark Methodology
Testing Environment
All benchmarks are conducted in controlled environments with consistent hardware specifications, network conditions, and system configurations to ensure reproducible results.
Workload Patterns
We use industry-standard benchmarks including TPC-B, TPC-H, and custom workloads that simulate real-world application patterns.
Metrics Collection
Performance metrics are collected using pgbench, pg_stat_statements, and custom monitoring tools to provide comprehensive performance insights.