Case Study: Virtual Global Trading achieves efficient energy data management with QuestDB

Virtual Global Trading AG leverages QuestDB for efficient energy data management

Virtual Global Trading faced challenges managing time-series data from its energy grid using MongoDB, encountering significant limitations in performing time-based aggregations and handling updates efficiently. This hindered their dynamic pricing models and overall data management, prompting a search for a new solution which led them to the time-series database QuestDB.

QuestDB provided a superior solution with its high-speed query performance, efficient time-zone aligned sampling, and built-in functionalities for time-series data. By switching to QuestDB, Virtual Global Trading overcame its ingestion and analytics bottlenecks, enabling instant processing of data from smart meters and power plants. This resulted in reliable data for accurate forecasting and the ability to support predictive energy analytics at scale.

Virtual Global Trading

Flavio Mueller

Data Scientist