Case Study: HotelTonight achieves real-time, scalable ETL and faster analytics with Iron.io

HotelTonight - Customer Case Study

HotelTonight, a mobile-first service for last-minute hotel bookings, needed to turn disparate, frequently changing feeds from multiple external sources into reliable, up-to-date business intelligence. Their previous workflow relied on exported CSVs and manual merging, which was slow, fragile, and hindered timely pricing and availability decisions.

They implemented an event-driven cloud ETL pipeline using IronWorker to run modular Ruby workers that ingest and transform each source and load the results into Amazon Redshift as a unified datastore. The solution provides concurrent, recoverable processing with dashboards for monitoring and orchestration, yielding a consolidated, more accurate dataset that lets analysts update prices and availability faster and scale the pipeline with confidence.

Hotel Tonight

Harlow Ward

Lead developer