Neo4j supports onefinestay's wide range of complex data requirements and access paths -- handling search queries such as number of floors in a home, or where linens are stored in a home. Onefinestay's ability to book and post available homes by unique layout and features relies on the ability to handle complex data modeling queries, and do so with speed and accuracy.
onefinestay redefines the experience of travel in cities like
"The Neo4j Graph Database resonates with every vertical industry we know of. From Telco, financial services, to hospitality, to online dating and health care, it is becoming clear that it's not just about data anymore, but knowing the relationships between data. Augmenting business decisions with knowledge of how things are connected is becoming a major differentiator for businesses across the globe. More and more companies are looking to Neo4j to make this possible," said Emil Eifrem, CEO of Neo Technology.
One Fine Graph Database
With onefinestay's growing menu of services and ever-expanding property listings, the company needed a better way to provide insights to its guests and operations team. onefinestay began experiencing more and more database query and standardizations issues and for this reason, started looking into other database options, including graph databases.
"We considered a number of NoSQL options, including Mongo, DynamoDB and other graph solutions, Neo4j provided the required balance of features and support we needed to unlock the power of data captured on our residential properties," said
To download a case study highlighting onefinestay's use of Neo4j, please visit: technology.com%2fonefinestay%2f" rel="nofollow">http://www.neotechnology.com/onefinestay/
Interested in graph technology?
Attend GraphConnect 2013 this Fall to hear how companies like Accenture, HP, Telenor and others are leveraging graph databases to solve their most critical connected data issues. GraphConnect is the only conference focusing on the rapidly growing world of graph databases and the applications that make sense of connected data. For more information, visit http://www.graphconnect.com.
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