Case Study: Repsol achieves global real-time data access and high availability with MongoDB Atlas

Repsol Group centralizes data from 60 plants with MongoDB Atlas

Repsol Group, the global renewables arm of a major energy company, faced the challenge of handling immense volumes of operational data from over 60 plants. They needed to bridge the gap between operational technology (OT) and IT by centralizing this data for easy, secure access, while ensuring global scalability, high availability, and controlled storage costs. To address this, they turned to MongoDB and its managed cloud service, MongoDB Atlas.

MongoDB implemented a solution using MongoDB Atlas, alongside MongoDB Time Series collections and Online Archive, integrated with Apache Kafka for data ingestion. This provided a cost-effective, globally connected platform that compresses data and simplifies access. The results included centralized data enabling self-service analytics for business users, significantly reduced storage costs, guaranteed high availability for 24/7 operations, and a scalable foundation supporting Repsol's growth across multiple continents.

Repsol Group