Boosting performance and consistency for property searches to acquire and retain loyal customers

Published on 16 Mar 2016

Cloudant enabled us to grow really quickly without all the sort of maintenance work that was required from our team. That’s what I think is really good about Cloudant - it just works.

Jonathan Epps, Co-founder and CEO RadPad


Professional Services

Deployment country


RadPad is a photo-based mobile application where renters can find a new apartment, condo, or home easily via a transparent process with property owners. Renters can pay rent through the app on a major debit or credit card. RadPad became the largest rental service in Los Angeles and the second-largest rental market in the country, in March 2014.

Business need
RadPad aims to make renting so much easier. From finding an apartment or home to rent, to paying the rent, RadPad is redefining how millennials rent. As user numbers grow, how can the company optimize search performance?

RadPad migrated from hosted MongoDB clusters to a three-node IBM® Cloudant™ Dedicated Cluster, gaining a scalable, cost-effective and low-maintenance NoSQL database-as-a-service solution.

RadPad has eliminated time-out issues for searches, improving service levels and accelerating complex property searches. Reduced administration enables more focus on improving the user experience.


IBM products and services that were used in this case study.

Cloudant Dedicated Cluster

Agile Software Development, Application Infrastructure, Cloud & Service Management, Cloud Computing, Infrastructure as a Service, Web Services

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