IBM Case Studies RadPad: Boosting performance and consistency for property searches to acquire and retain loyal customers

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

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

IBM

Technology Category	Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions	Sales & Marketing
Use Cases	Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services
Challenge	RadPad, a start-up aimed at streamlining the mobile rental experience, was looking to optimize the performance and efficiency of its underlying database. The company initially used PostgreSQL, then adopted MongoDB to make its listing data easier to serve to apps or web users. However, MongoDB had limitations in handling large amounts of data, and some searches on larger data sets were timing out, potentially leading to user dissatisfaction. As RadPad prepared to launch a new iteration of its map-based search service, it needed a solution that could offer high availability, elasticity, and reach of the cloud. Read More
About Customer	RadPad is a start-up company that aims to streamline the mobile rental experience. The company's services range from searching for and discovering new apartments or homes to rent, to applying for an apartment and paying the rent. RadPad's target audience is tech-savvy millennials who demand exceptional performance and reliability. As a start-up, RadPad had to use its investor capital wisely to acquire, grow, and retain a loyal customer base and create a thriving business. In a crowded digital marketplace, achieving these goals depends on the company’s ability to offer a reliable and responsive service to consumers, while keeping tight control over operational costs. Read More
Solution	RadPad migrated its property search database to a three-node IBM Cloudant Dedicated Cluster. This change provides a NoSQL database-as-a-service solution that delivers the high availability, elasticity, and reach of the cloud. The IBM Cloudant solution stores data as self-describing JSON documents, and its RESTful API makes every document accessible through HTTP. Using the RESTful API allowed RadPad to transition much of its code to work directly with IBM Cloudant rather than first going through the API for its Heroku hosted infrastructure. This simplification of the architecture increases performance and helps eliminate time-out issues. As RadPad grows its business and opens in new cities across the U.S., its IBM Cloudant solution will scale quickly and seamlessly. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Applicable Functions

Sales & Marketing

Use Cases

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

Challenge

RadPad, a start-up aimed at streamlining the mobile rental experience, was looking to optimize the performance and efficiency of its underlying database. The company initially used PostgreSQL, then adopted MongoDB to make its listing data easier to serve to apps or web users. However, MongoDB had limitations in handling large amounts of data, and some searches on larger data sets were timing out, potentially leading to user dissatisfaction. As RadPad prepared to launch a new iteration of its map-based search service, it needed a solution that could offer high availability, elasticity, and reach of the cloud.

About Customer

RadPad is a start-up company that aims to streamline the mobile rental experience. The company's services range from searching for and discovering new apartments or homes to rent, to applying for an apartment and paying the rent. RadPad's target audience is tech-savvy millennials who demand exceptional performance and reliability. As a start-up, RadPad had to use its investor capital wisely to acquire, grow, and retain a loyal customer base and create a thriving business. In a crowded digital marketplace, achieving these goals depends on the company’s ability to offer a reliable and responsive service to consumers, while keeping tight control over operational costs.

Solution

RadPad migrated its property search database to a three-node IBM Cloudant Dedicated Cluster. This change provides a NoSQL database-as-a-service solution that delivers the high availability, elasticity, and reach of the cloud. The IBM Cloudant solution stores data as self-describing JSON documents, and its RESTful API makes every document accessible through HTTP. Using the RESTful API allowed RadPad to transition much of its code to work directly with IBM Cloudant rather than first going through the API for its Heroku hosted infrastructure. This simplification of the architecture increases performance and helps eliminate time-out issues. As RadPad grows its business and opens in new cities across the U.S., its IBM Cloudant solution will scale quickly and seamlessly.

Impact #1	RadPad has eliminated time-out issues for searches, improving service levels and accelerating complex property searches.
Impact #2	Reduced administration enables more focus on improving the user experience.
Impact #3	The solution has needed practically zero maintenance so far.

Impact #1

RadPad has eliminated time-out issues for searches, improving service levels and accelerating complex property searches.

Impact #2

Reduced administration enables more focus on improving the user experience.

Impact #3

The solution has needed practically zero maintenance so far.

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Overview

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

Operational Impact