An Efficient Time-Series Database for IoT and Edge Computing in AI infrastructure

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 1604% faster write speeds for 1MB records compared to TimescaleDB
• Up to 291% faster read speeds on 1MB blobs compared to MinIO
• Analysis of potential cost savings:
• Example showing potential savings of $273,000 per year for a large operation

Ideal for:

• Edge computing and IoT developers
• AI infrastructure managers
• Data engineers working with unstructured time series data