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Sysbench benchmark results
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.
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
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) | Configurations correspond to each flavor. |
| MongoDB version | MongoDB Enterprise v8.0.20-ent |
| IOPS | 6000 |
Result:
| Flavor (vCPU/RAM) | Thread count | Sysbench Read | Sysbench Write | QPS | TPS |
|---|---|---|---|---|---|
| 2C4G | 8 | 500310 | 499690 | 4083.95 | 4083.95 |
| 2C8G | 8 | 500652 | 499348 | 5120.56 | 5120.56 |
| 4C8G | 16 | 499868 | 500132 | 9007.79 | 9007.79 |
| 8C16G | 32 | 501398 | 498602 | 17666.6 | 17666.66 |
| 8C32G | 64 | 500420 | 499529 | 21993.49 | 21993.49 |
| 16C32G | 64 | 499522 | 500478 | 31626.55 | 31626.55 |
| 16C64G | 128 | 500086 | 499914 | 34621.24 | 34621.24 |
3. Analysis & Recommendations
- Increasing CPU and memory generally improves throughput.
- 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.
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