Case Study: Tourmo.ai achieves real-time and batch data integration with Etlworks

A Etlworks Case Study

Preview of the Tourmo Case Study

Tourmo.ai cuts data integration costs and unifies real-time pipelines with Etlworks

Tourmo.ai, an AI-powered mobility intelligence platform, faced the challenge of building fast, reliable data pipelines to stream and batch data from multiple MySQL sources into Snowflake. They needed a solution for real-time change data capture and multi-source batch integration to power their analytics and AI models without manual maintenance. They selected Etlworks for its unified data integration platform.

Etlworks implemented a solution featuring CDC-based streaming for real-time replication and scheduled batch ETL workflows into Snowflake. This provided Tourmo.ai with continuous data visibility, a unified data environment for analytics, and scalable operations to support new sources easily. The results included lower total cost of ownership by reducing the need for custom scripts and third-party tools.


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