Best Practices for Building IIoT Energy Monitoring Applications
Blog post from Tiger Data
The oil & gas, solar, and wind industries are facing challenges in creating robust data foundations for Industrial IoT (IIoT) energy monitoring applications. These applications require handling IIoT data at scale, eliminating data silos, and ingesting, processing, analyzing, and visualizing data in real-time. A database optimized for time-series data is crucial to overcome these challenges. PostgreSQL on Timescale provides a robust solution, offering features specifically designed for sensor data and real-time analytics. It facilitates integration with existing systems, ensures compatibility with a wide range of tools and protocols, and provides elastic storage, automated backups, and high availability. This enables developers to build applications instead of managing infrastructure, while also providing an open-source AI stack for PostgreSQL, reducing latency and complexity in real-time energy optimization decisions.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
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