Creating and maintaining a unified view of the customer has been an important but elusive goal for enterprises. Customers expect a consistent experience, regardless of channel. As the number of products and services, channels, brands, and business units increases, relational databases struggle to deliver a unified approach – leading to data fragmentation across silos. In contrast, Couchbase Server, with its flexible data model and elastic scalability, makes its easy to create a centralized repository of customer data.

What's hard for a relational database... ...is easy for Couchbase Server.

Aggregate multiple and changing data types from disparate sources: Due to their rigid schemas, data aggregation is difficult and complex using relational databases

Couchbase Server’s document-oriented, JSON-based data model makes it easy to aggregate any kind of data from any source

Interact with analytics tools like Hadoop to capture insights: Integrating relational databases with Hadoop and other modern big data tools is complex

Couchbase Server’s real time Hadoop integration via in-memory streaming makes it easy to export and import data for customer analytics

Rapidly access data for highly responsive experiences: Relational databases cannot deliver the speed required for real-time interaction

Thanks to its memory-centric architecture and integrated cache, Couchbase Server delivers sub-millisecond responsiveness for real time performance


Customer Spotlight

Fortune 200 Global Apparel Brand Unifies Customer Data with Couchbase Server

A Fortune 200 global apparel brand growing its direct-to-consumer online business faced scalability and flexibility challenges while trying to create and maintain a unified view of its customers. Each customer facing application had its own customer database, and the workload and number of online interactions was dramatically increasing. The company is deploying Couchbase Server to provide a centralized service consolidating customer data, which can be accessed and leveraged by multiple customer-facing and internal applications. Couchbase Server was chosen because it was simple to scale, met high performance and availability requirements, and supported the company’s shift to a public cloud for a distributed, elastic infrastructure.


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