PLAID, Inc. Optimizes Real-Time Data With MongoDB Atlas Stream Processing

PLAID, Inc., a Tokyo-based company that has been a MongoDB customer since 2015, encountered challenges in scaling its real-time data processing capabilities when migrating from a self-hosted MongoDB instance to MongoDB Atlas. Initially using Kafka connectors to stream data to Google BigQuery, the company faced complexities and rising costs due to the number of pipelines required. To address these issues, PLAID implemented MongoDB Atlas Stream Processing, which offered an integrated and cost-effective solution for real-time data processing. This transition allowed PLAID to replace some Kafka connectors, streamline connection management, and optimize costs by leveraging Stream Processing Instances (SPIs) with a more predictable pricing structure. The implementation resulted in significant cost savings, improved scalability, and enhanced real-time data capabilities, enabling PLAID to efficiently process over 3 million events per day while maintaining operational stability and simplifying management. The success with Atlas Stream Processing underscores its value for organizations aiming to streamline data integration pipelines and effectively leverage real-time data.