Case Study: Tourmo achieves real-time and batch data pipeline scalability with Etlworks

Tourmo.ai Powers Real-Time and Batch Data Pipelines with Etlworks

Tourmo.ai, an AI-powered mobility intelligence platform, needed a way to deliver fast, reliable data pipelines across a growing set of MySQL sources and cloud destinations. The company was looking for a solution that could support real-time data delivery, batch integration, and centralized analytics in Snowflake with minimal latency and ongoing maintenance. Etlworks provided the platform used to meet these data integration requirements.

Etlworks implemented CDC-based streaming pipelines from multiple MySQL databases into Snowflake, along with scheduled batch ETL workflows for additional sources. The solution also included reusable templates, shared connections, and monitoring/logging to simplify operations and improve reliability. As a result, Tourmo.ai gained real-time visibility in Snowflake, a unified environment for analytics and reporting, scalable support for new sources, and lower integration costs by reducing custom scripting and third-party tooling.

Tourmo