Sysbench benchmark results
This section presents database cluster performance benchmark results performed using the Sysbench tool, aiming to provide a reference for the processing capabilities of database engines across different compute configurations (flavors).
The results are provided for reference purposes only and do not represent guaranteed performance.
1. Benchmark sysbench overview
Purpose:
- Evaluate OLTP (Read/Write) performance of supported database engines.
- Observe performance scaling behavior when increasing CPU and memory resources.
- Provide reference data to assist customers in selecting appropriate instance sizes.
Benchmarked database engines:
The database engines are included in this benchmark: PostgreSQL, MySQL, MariaDB, MongoDB and Redis.
Metrics:
- Sysbench Read : Total number of read queries executed during the test.
- Sysbench Write : Total number of write queries executed during the test.
- QPS (Queries Per Second) : Average number of queries processed per second.
- TPS (Transactions Per Second) : Average number of completed transactions per second.
Higher QPS and TPS values indicate higher throughput under the tested workload.
2. Benchmark results by database engine
2.1. PostgreSQL
Test environment:
| Parameter | Value |
|---|---|
| Benchmark tool | Sysbench (OLTP Read/Write) |
| Number of tables | 64 |
| Rows per table | 1000000 |
| Workload type | Read/Write |
| Thread count | Configured per instance size |
| PostgreSQL version | PostgreSQL 17 |
Result:
| Flavor (vCPU/RAM) | Thread count | Sysbench Read | Sysbench Write | QPS | TPS |
|---|---|---|---|---|---|
| 2C4G | 64 | 2595600 | 741590 | 6177.66 | 308.88 |
| 2C8G | 64 | 2481276 | 708929 | 5905.53 | 295.27 |
| 4C8G | 64 | 3189018 | 911134 | 7589.71 | 379.48 |
| 8C16G | 64 | 4829286 | 1379738 | 11496.20 | 574.79 |
| 8C32G | 64 | 5679842 | 1622732 | 13519.46 | 675.94 |
| 16C32G | 64 | 6448036 | 1842199 | 15350.46 | 767.49 |
| 16C64G | 64 | 6926948 | 1979031 | 16489.02 | 824.41 |
2.2. MySQL
Test environment:
| Parameter | Value |
|---|---|
| Benchmark tool | Sysbench (OLTP Read/Write) |
| Number of tables | 64 |
| Rows per table | 1000000 |
| Workload type | Read/Write |
| Thread count | Configured per instance size |
| MySQL version | MySQL 8.0.42 |
Result:
| Flavor (vCPU/RAM) | Thread count | Sysbench Read | Sysbench Write | QPS | TPS |
|---|---|---|---|---|---|
| 4C8G | 16 | 6814500 | 1947000 | 16224.39 | 811.22 |
| 8C16G | 32 | 9748144 | 2785184 | 23209.29 | 1160.46 |
| 8C32G | 32 | 9423834 | 2692524 | 22430.67 | 1121.53 |
| 16C32G | 64 | 9786238 | 2796068 | 23289.48 | 1164.47 |
2.3. MariaDB
Test environment:
| Parameter | Value |
|---|---|
| Benchmark tool | Sysbench (OLTP Read/Write) |
| Number of tables | 64 |
| Rows per table | 1000000 |
| Workload type | Read/Write |
| Thread count | Configured per instance size |
| MySQL version | MariaDB 10.6 |
Result:
| Flavor (vCPU/RAM) | Thread count | Sysbench Read | Sysbench Write | QPS | TPS |
|---|---|---|---|---|---|
| 4C8G | 16 | 10573514 | 2111341 | 25174.34 | 1258.72 |
| 8C16G | 32 | 8923236 | 2094628 | 21245.25 | 1062.26 |
| 8C32G | 32 | 8491182 | 2086388 | 20216.52 | 1010.83 |
| 16C32G | 64 | 10267208 | 2568032 | 24444.58 | 1222.23 |
| 16C64G | 64 | 10789884 | 2719241 | 25688.30 | 1284.42 |
2.4. MongoDB
Test environment:
| Parameter | Value |
|---|---|
| Benchmark tool | Sysbench (OLTP Read/Write) |
| Number of documents | 1.000.000 |
| Number of operations | 1.000.000 |
| Workload type | Read/Write |
| Thread count (YCSB threads) | Cấu hình tương ứng với từng flavor |
| MongoDB version | MongoDB 6.0.6 |
Result:
| Flavor (vCPU/RAM) | Thread count | Sysbench Read | Sysbench Write | QPS | TPS |
|---|---|---|---|---|---|
| 2C4G | 8 | 500195 | 499805 | 3372.36 | 3372.36 |
| 2C8G | 8 | 500022 | 499978 | 4004.93 | 4004.93 |
| 4C8G | 16 | 499772 | 500228 | 5023.81 | 5023.81 |
| 8C16G | 32 | 500293 | 499707 | 6417.54 | 6417.54 |
| 8C32G | 32 | 500372 | 499628 | 5921.64 | 5921.64 |
| 16C32G | 64 | 499865 | 500135 | 8532.79 | 8532.79 |
| 16C64G | 64 | 499989 | 500011 | 12972.02 | 12972.02 |
2.5. Redis
Test environment:
| Parameter | Value |
|---|---|
| Benchmark tool | Sysbench (OLTP Read/Write) |
| Number of Key | 1.000.000 |
| Workload type | Read/Write |
| Redis version | Redis 7.2.1 |
Result:
| Flavor (vCPU/RAM) | Sysbench Read | Sysbench Write | Total QPS | P99 latency | AVG latency |
|---|---|---|---|---|---|
| 2C4G | 68600 | 29405 | 98005.25 | 28.93 | 3.10 |
| 2C8G | 68346 | 29296 | 97641.61 | 30.85 | 3.92 |
| 4C8G | 67948 | 29126 | 97074.26 | 35.33 | 6.77 |
| 8C16G | 68655 | 29428 | 98083.03 | 28.03 | 3.41 |
| 8C32G | 67811 | 29067 | 96878.29 | 35.84 | 5.77 |
| 16C32G | 67964 | 29132 | 97096.07 | 33.54 | 4.89 |
| 16C64G | 68329 | 29289 | 97617.73 | 31.74 | 4.42 |
3. Analysis & Recommendations
- Increasing CPU and memory generally improves throughput.
- Each database engine exhibits different scaling characteristics.
- Performance gains may diminish at higher configurations depending on workload and system limits.
Important:
- Benchmark results are workload-specific and provided for reference only.
- Actual performance may vary depending on:
- Application workload characteristics.
- Database schema and indexing.
- Read/write ratio.
- Storage and network configuration.
Customers are strongly encouraged to test with their own workloads before deploying to production.
Recommendations:
Use these benchmark results as guidance when selecting database engines and instance sizes. For optimal performance, validate configuration choices through application-specific performance testing.