CHALLENGE + IMPACT

Deliver real-time, business-critical data

Today’s high-tech leaders are embracing next-generation NoSQL database technology to build and run modern web, mobile, and IoT applications. Legacy relational databases can’t keep up with the demands for performance, agility, and scalability. That’s why the High Tech sector relies on Couchbase, a highly scalable database that underpins mission-critical applications, enabling companies to move from monolithic systems to microservice architectures and deliver engaging, responsive, and reliable digital experiences.

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Data modeling and schema design

High-tech companies need to carefully structure their data to meet application requirements

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Application complexity and integration

Applications deal with unstructured or semi-structured data, which can lead to increased application complexity

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Mobile and real-time data access

Ensuring low-latency data retrieval is essential for delivering the user experience the market demands

WHY COUCHBASE

Why Couchbase NoSQL for high-tech applications

Key features for why high-tech customers choose Couchbase’s NoSQL database solution for their mission-critical applications.

Easier, more affordable scalability

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

Availability and disaster recovery

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

Lower costs, faster time to market

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

Enable operational analytics

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

Use Capella for Free Today

Try some sample code, explore tools, and play with free datasets.

CUSTOMERS

Customer testimonials related to high-tech applications

Hi-Tech-customer
“Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems.”
Michael Kehoe, Senior Staff Site Reliability Engineer, LinkedIn
10+ million queries per second
<4 ms avg latency for 2.5+ billion items