About Marriott
4,000
transactions per second
30+ million
documents
Challenges
- On a single central mainframe, an outage could cost millions in lost booking revenue
- Maintaining the reservation system and updating the mainframe was very costly
- Wanted to move to a cloud-forward strategy, use commodity hardware, and lower licensing costs
- Needed to deploy new applications faster and more reliably
Outcomes
- Data replicated to multiple geographic areas optimizes response times and improves availability
- A scalable, flexible cloud-based model reduces application development costs and improves speed
- Developers use SQL for JSON to deliver personalized customer experiences
- Couchbase supports 30 million documents, accessed at 4,000 transactions per second
For many many years, we said, 'Wouldn't it be nice to have a data store where we could go from the Java object right into the database and back without a big translation and lots of overhead?' Well, this is it.
Thomas Vidnovic Solutions Architect, Marriott International
Industry
Use case
- Product/price
- Product catalog
- Recommendations
- Mainframe offload
Product
Key features
- N1QL
- Multi-dimensional scaling
- Cross datacenter replication
