industries: retail & E-commerce

NoSQL Database for Retail

Couchbase provides a NoSQL database for e-commerce and retail brands needing high performance, real-time responsiveness, and scalable flexibility. Explore how Couchbase helps overcome legacy database challenges with built-in mobile support, operational analytics, and low-latency transactions.

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WHY COUCHBASE

Why choose Couchbase NoSQL for retail and e-commerce

Retail and e-commerce organizations rely on Couchbase’s NoSQL database to power mission-critical applications that demand high performance, scalability, and flexibility. Explore the key features and real-world use cases that make Couchbase a go-to NoSQL database for modern digital commerce.

Easier scalability

Couchbase’s network-centric architecture allows the database to be easily extended while maintaining performance at scale.

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Better performance

Couchbase’s in-memory and distributed architecture consistently delivers the sub-millisecond responsiveness that users need.

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Availability and disaster recovery

Couchbase provides built-in high availability and flexible replication capabilities that supports disaster recovery.

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Integrated mobile capabilities

Couchbase Mobile extends apps from the cloud to the edge with an embedded NoSQL database and a web gateway for data sync.

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Lower costs, faster time to market

Couchbase drives the flexibility and increased operational efficiency you need to keep up with constantly changing data.

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Enable operational analytics

The Analytics service in Couchbase reduces the time to insight on operational data and simplifies analytical data pipelines.

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CHALLENGE + IMPACT

Architect high-performance applications that scale

Legacy technologies, including relational databases, struggle to meet the scalability, performance, availability, flexibility, and mobile demands of modern digital commerce. Couchbase’s NoSQL e-commerce model solves these challenges with a flexible, distributed architecture designed for real-time, always-on retail experiences.

Data modeling complexity

Inefficient data modeling can make data retrieval and analysis difficult, leading to poor user experiences and slower insights.

Data consistency and transaction management

Inconsistent or incomplete data can result in pricing errors, inventory issues, and failed transactions – hurting customer satisfaction and order fulfillment.

Real-time data processing

Latency in processing real-time data limits the effectiveness of recommendations, targeted marketing, and content delivery.

CUSTOMERS

Customer testimonials related to retail & e-commerce

  • “Our digital showroom completely reimagines the traditional buying approach and establishes a new fashion industry benchmark for business-to-business sales.”

    Daniel Grieder, CEO, Tommy Hilfiger

    66%

    reduction in
    buying trip
    duration

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  • “With Couchbase we can rapidly retrieve data, enabling us to provide the most up-to-date information to our customers.”

    Pavan Kumar, Manager, Software Engineering & Architecture, Tesco
    Read Customer Story

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