Real-Time Machine Learning on PostgreSQL vs  MongoDB
Channel: Postgres Conference
Date: 2021-07-30

Wind turbines generate a large amount of SCADA data, approximately 500 different metrics each second. Turbit Systems captures and analyzes wind turbine data in real time, using machine learning algorithms to automatically detect the slightest technical fault, recommend corrective measures, and continuously improve turbine behavior and efficiency.

In this webinar, you’ll learn why Turbit Systems chose Postgres over MongoDB to capture and analyze wind turbine data in real time, and how they run machine learning on Postgres at scale:

*The challenges of collecting machine data from wind turbines
*Switching to Postgres from MongoDB
*Engineering a Postgres-based machine learning data stack
*Accelerating Postgres with Swarm64 DA to achieve sub-second query performance
*Visualizing and interpreting wind turbine data