After several years working in industrial IoT, a developer shares their rationale for selecting Apache IoTDB over other time-series databases like InfluxDB and TimescaleDB. Key factors include superior data compression, optimized performance for high-frequency time-series data, and seamless integration with Hadoop and Spark ecosystems. The author also notes challenges with community maturity and documentation but concludes that IoTDB's architecture is better suited for large-scale industrial deployments. This firsthand account provides actionable insights for engineers evaluating database solutions for IoT platforms, edge computing, and smart manufacturing scenarios.
A practitioner explains their choice of Apache IoTDB for industrial IoT, citing performance and ecosystem benefits.