Case Study: Amadeus Hospitality achieves real-time browsing of billions of travel recommendations with MongoDB

Travellers Instantly Browse Billions of Recommendations With MongoDB-Powered New Amadeus Flight Search Portfolio

Amadeus, a global travel-technology provider serving hundreds of millions of customers, faced a rising data challenge: travellers increasingly ask open-ended queries (for example, “I have $600 — where can I go?”) that require instant, multi-dimensional searches across billions of options. The company’s original search solution couldn’t sustain performance as load and dataset size grew, yet the business needed real-time results to meet high user expectations and drive conversions.

Amadeus rebuilt Instant Search on MongoDB, using sharding, the WiredTiger storage engine (achieving about 80% storage compression), and Ops Manager for proactive monitoring, with ongoing support from MongoDB’s consulting team. The result is fast, scalable browsing of billions of travel options in real time, reduced storage and operational costs, improved performance under heavy load, adoption by customers like KAYAK, and industry recognition for innovation.

Amadeus Hospitality

Olaf Schnapauff

Chief Technology Officer Global Operations