Streaming MongoDB to Snowflake with Snowpipe Streaming and Dynamic Tables and Lowering Costs

This guide provides a comprehensive walkthrough for data teams aiming to transition from traditional batch processing to real-time data streaming from MongoDB to a Snowflake data warehouse using Streamkap. By leveraging change data capture methods, Streamkap allows for sub-second latency and significant cost savings, reducing ETL expenses by up to 90% compared to traditional vendors. The guide includes detailed instructions for setting up both MongoDB Atlas and self-hosted MongoDB, configuring Streamkap and Snowflake connectors, and managing permissions to facilitate real-time data replication and transformation. It highlights the benefits of using Snowflake's Dynamic Tables for efficient data modeling and discusses the cost-effectiveness of Snowpipe Streaming, emphasizing that streaming data is now more affordable and manageable than ever. The document is aimed at data engineers but is beneficial for anyone interested in creating real-time dashboards, enhancing customer experiences, or supporting time-sensitive analytical workloads.