Real-time MongoDB CDC with Confluent and Tinybird

MongoDB has become the go-to NoSQL database for developers, offering exceptional real-time performance with schemaless design. Its ability to handle real-time transactions at scale makes it extremely popular among developers.

MongoDB can handle some level of query complexity, but to perform real-time analytics with MongoDB at scale, you may need to land MongoDB tables into a data system optimized for analytics with streaming data.

Join this session to learn how to use Confluent and Tinybird to build a real-time analytics pipeline over MongoDB CDC data.

In this session, you'll learn:

• How to produce MongoDB CDC streams onto a Kafka topic with the Confluent MongoDB Atlas Source Connector
• How to consume MongoDB change events from Confluent using Tinybird's native Confluent Connector
• How to deduplicate records from MongoDB to maintain a consistent replica in Tinybird
• How to design a performant table schema in Tinybird to build real-time analytics over MongoDB data
• SQL best practices for querying MongoDB change streams in real time.