Case Study: Ambyint achieves real-time MongoDB-to-Snowflake and MQTT data integration with Etlworks

Ambyint streams MongoDB CDC to Snowflake in real time with Etlworks

Ambyint, a leader in production optimization and AI for the oil and gas industry, faced challenges in real-time data integration. They needed to replicate data from MongoDB to Snowflake and stream IoT device data from multiple MQTT brokers, requiring a scalable solution for their diverse ecosystem. They chose Etlworks for its data integration service to address these needs.

Using Etlworks, Ambyint implemented real-time CDC pipelines to synchronize MongoDB with Snowflake and integrated with MQTT brokers for continuous data streaming. The solution provided seamless real-time integration, reliable IoT data processing, and enhanced performance under high data loads. Etlworks enabled scalable operations and improved efficiency by reducing the time and effort required to maintain these complex workflows.

Ambyint