Real IoT Case Study | How a Nuclear Energy Research Institute Handles 10,000 Data Points in ms

Few environments push data infrastructure harder than nuclear energy research. This institute runs one of the most demanding data workloads in the field — concurrent writes, real-time queries, and complex aggregation across massive datasets.

By building on DolphinDB, they now have a unified platform that handles it all:

⚡ 10,000 measurement points written in under 100ms

🎯 Alerting & computation latency at the millisecond level

🔧 Custom algorithm support — including Fourier and wavelet transforms — callable directly as in-database functions

From data ingestion to storage, computation, and analysis, all on one platform.

Working with large-scale IoT or time-series data in high-stakes environments? Drop a comment below — we'd love to hear what you're building.

🔗 Learn more: http://dolphindb.com/

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Видео Real IoT Case Study | How a Nuclear Energy Research Institute Handles 10,000 Data Points in ms канала DolphinDB