Case Study: Connect&GO achieves 180x lower MySQL-to-Snowflake latency with Estuary

Connect&GO lowers MySQL to Snowflake latency up to 180x, improves productivity 4x with Estuary Flow

Connect&GO, a provider of an all-in-one visitor and data management platform for the attractions industry, faced a significant data latency challenge. Their self-hosted batch ELT solution took 45 minutes to move data from MySQL databases to Snowflake, which was too slow for clients who needed near-real-time insights to manage operations. The solution also overloaded their small data engineering team. They needed a streamlined approach that could provide faster data updates without consuming excessive resources.

By implementing Estuary's streaming data platform, Connect&GO achieved a dramatic improvement. Estuary enabled them to capture change data from MySQL and stream it to Snowflake with latency as low as 15 seconds, a 180x reduction. This solution also resulted in a 4x increase in team productivity and cut vendor costs by 5x, allowing Connect&GO to deliver the real-time visibility their customers demanded.

Connect&GO

Alexandre Pelletier

Senior Data Engineer