An Efficient Time-Series Database for IoT and Edge Computing in AI infrastructure
Explore ReductStore: A new solution for managing unstructured time series data.
What you'll learn:
- Current challenges in managing massive IoT and Industry 4.0 data volumes
- Limitations of traditional databases for unstructured time series data
- Detailed comparison of ReductStore to InfluxDB, OpenTSDB, TimescaleDB, MongoDB, MinIO, and OpenIO
- ReductStore's unique features for edge computing
- Real-time FIFO quota system
- Label-based metadata and filtering
- Efficient batching for high latency environments
Key Insights:
- Performance benchmarks that demonstrate the benefits of ReductStore:
- Up to 1300% faster write speeds for 10MB records compared to TimescaleDB
- 244% faster read speeds on 10KB blobs compared to MongoDB
- Analysis of potential cost savings:
- Example showing potential savings of $522,000 per year for a large operation
Ideal for:
- Edge computing and IoT developers
- AI infrastructure managers
- Data engineers working with unstructured time series data