Webinar: How to Build a Streaming Data Mesh | Register Now

Online Talk

Build Fully Managed Data Pipelines with MongoDB Atlas and Confluent

Available On-Demand

Today’s data sources are fast-moving and dispersed, which can leave businesses and engineers struggling to deliver data and applications in real-time. While this can be hard, we know it doesn’t have to be - because we’ve already made it easy.

With source and sink connectors deployed with just a few clicks, Confluent and MongoDB Atlas are making it simple to stream data from any source directly into MongoDB, regardless of which cloud you use. Our fully managed solution, built on Apache Kafka, brings forward the best of the multi-cloud document database service, MongoDB Atlas, by filling it with real-time data. Together, we can set your data in motion, and with that, help you build fast moving applications enriched with historical context and gain insights that give your business a competitive advantage.

Join this webinar to learn:

  • What challenges exist with disconnected data sources and legacy systems
  • How businesses are leveraging best-in-class streaming and database technologies to address modern business expectations
  • How to build robust and reactive modern data pipelines and applications with a fully managed service


Robert Walters

Director of IoT, MongoDB

Nathan Nam

Senior Product Manager, Connectors

Nathan Nam is a Senior Product Manager for Kafka Connect and connectors at Confluent. Previously, he worked at MuleSoft as a product manager and held various roles at Samsung Electronics. He holds an MBA from Tuck School of Business at Dartmouth and an MIDS from UC Berkeley.

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices