NoSQL for High Tech

Overview
Customers
Benefits
Applications
Architectures
Solutions
Resources

Architect your application to deliver speedy, contextualized, and real-time business-critical data

Today’s high-tech leaders have embraced next-generation database technology to build and run modern web, mobile, and IoT applications. Why? Because legacy technologies, including relational databases, are unable to keep up with the challenges in meeting the performance, scalability, availability, agility, and affordability requirements of their applications. This is why hundreds of companies in the high-tech space choose Couchbase to underpin their business-critical apps as they move away from monolithic solutions to microservice-based architectures, focusing on building engaging, responsive, and scalable applications.

See the use cases and solutions powered by Couchbase

See Use Cases

LinkedIn moved from Oracle to Couchbase to power 10M+ queries per second across all LinkedIn servers and clusters.
Learn more

eBay, the world’s leading online auction house, delivers seamless performance at scale for 164M active users with 110B Couchbase calls per day.
Learn more

French real-time navigation provider Coyote Systems uses Couchbase to achieve scalable, real-time performance to support 13M traffic information alerts per day for 5M users.
Learn more

Sky, Europe’s largest media company and TV broadcaster, uses Couchbase to keep compelling content available during peak demand for over 22M subscribers.
Learn more

Why Couchbase NoSQL for high tech applications

Scale: Easier, more affordable scalability

Couchbase’s network-centric architecture with a high-performance replication backbone allows the database to be easily extended while maintaining performance at scale. Unlike relational databases like Oracle and MySQL, Couchbase supports ever-increasing workloads and spikes in throughput demands. Couchbase scales (in, out, up, or down) easily and without disruption to meet these demands.

Blog: Scaling a Couchbase cluster for increasing and decreasing demand
Learn more about Couchbase’s Multi-Dimensional Scaling which gives you the option to separate, isolate, and scale individual database services

Performance: Better performance than any other database

While other NoSQL databases like MongoDB™ require a third-party cache – adding to both cost and complexity – Couchbase has a fully integrated read-through and write-through caching layer. Couchbase’s memory- and network-centric architecture consistently delivers the sub-millisecond responsiveness that today’s users expect.

Get the competitive NoSQL performance benchmark

See how Couchbase outperforms on enterprise workloads

Availability: Built-in high availability and disaster recovery

Couchbase provides five-nines availability with built-in high availability and flexible cross datacenter replication (XDCR) capabilities that supports disaster recovery and data locality requirements. With Couchbase, you have full control over the topology – unidirectional, bidirectional, or any configuration you need.

Blog: Couchbase high availability and disaster recovery: Setting up XDCR step by step

Documentation: Couchbase availability

Presentation: Next Level High Availability with Couchbase Server 5.5

Mobile: Integrated mobile capabilities support omnichannel experiences

Couchbase is the only NoSQL database with built-in mobile support. Couchbase Mobile extends Couchbase Server to the edge with an embedded NoSQL database (Couchbase Lite) and a web gateway (Sync Gateway), enabling apps to work offline regardless of network availability, and powering use cases at the edge such as personalization, peer-to-peer messaging and sharing, and more.

Build a sample app with Couchbase Mobile

Tutorial: Getting started with data synchronization using Couchbase Mobile for offline-first apps

Flexibility: Lower costs and faster time to market

Couchbase drives the flexibility and increased operational efficiency you need to keep up with the constantly updated and changing digital communication data. Couchbase’s powerful query language allows developers to easily query JSON data using familiar, SQL-like expressions. Tightly integrated full-text search, real-time analytics, and powerful eventing services make it easy to add new features to your application on the fly without moving data into and managing dozens of database technologies, finally putting an end to database sprawl.

Learn more about N1QL, our SQL for JSON query language

Take the N1QL tutorial

Analytics: Integrated analytics capabilities for real-time data insights

The Couchbase Analytics service reduces the time to insight on operational data and simplifies operations for analytical data pipelines. Run ad hoc queries on data for real-time results and apply real-time analytics to monitor your applications.

Blog: Using Couchbase Analytics for complex and efficient queries in a Java application

Documentation: Deploying the Analytics Service

Why Couchbase NoSQL for high tech applications

Site monitoring platform

Monitor your websites, servers, applications, and more with Couchbase. LinkedIn relies on Couchbase to monitor and analyze massive amounts of data across all of its properties to ensure its site is available 24/7.

Live chat

Store user profiles and messages with Couchbase, and scale to meet demand as user activity increases. LivePerson leverages Couchbase to power their real-time chat application.

Real-time reporting

Collect real-time data from devices and applications to power operational analytics, usage tracking, and restartability for reporting purposes.

Ad targeting

Capture omnichannel customer engagements to create a single view of your data and provide real-time, personalized ads at every touchpoint. [m]PLATFORM, part of GroupM, uses Couchbase to power 8.5B events/day globally and 255B events/month.

User profile

Deliver fast and seamless login, authentication, and profile management including user preferences. As the number of users, complexity of user profile data, and user experience expectations accelerate, Couchbase handles the workload and scales to meet those demands.

Mainframe offload

By caching frequently used data, response times are improved and costs are substantially lowered through reduced workloads. If your app runs on a relational database like Oracle which requires costly hardware in order to scale, or a mainframe like Db2 which charges you by the MIP, a scale-out cache that runs on low-cost servers is more cost-effective.