ReductStore White Paper
What's inside:
- Why time-series databases and object storage fall short for robotics & industrial use cases
- Three use cases end to end: robotics with ROS, industrial IoT over MQTT, and drones
- Benchmarks and comparisons vs. MinIO, TimescaleDB, MongoDB, InfluxDB, and IoTDB
- Key features:
- FIFO quota to prevent disk overflow on edge
- Metadata labels for selective replication
- SQL over stored records with ReductSelect and DataFusion
- S3 and Azure Blob backends for cloud deployments
Performance highlights:
- 16x faster reads vs. MinIO (100 KB records)
- 10x faster writes vs. TimescaleDB (100 KB records)
- Around $4,200 a month saved on a 50 TB S3 workload