The benchmarks write and read blobs of different sizes to TimescaleDB and ReductStore.
The benchmarks are written in Python and use the psycopg2 and reduct-py libraries to interact with TimescaleDB and ReductStore,
respectively.
pip install -r requirements.txt
docker-compose up -d
python main.py
The script displays results for the specified BLOB_SIZE and SIZE_COUNT. On my device, which has an NVMe drive, here are the results I obtained:
| Chunk Size | Operation | TimescaleDB, blob/s | ReductStore, blob/s | ReductStore, % |
|---|---|---|---|---|
| 1 KB | Write | 3124 | 9322 | +198% |
| Read | 40300 | 51505 | +28% | |
| 10 KB | Write | 2114 | 8395 | +297% |
| Read | 10241 | 42322 | +313% | |
| 100 KB | Write | 491 | 5026 | +924% |
| Read | 1602 | 11244 | +603% | |
| 1 MB | Write | 56 | 898 | +1604% |
| Read | 173 | 1336 | +671% |