NoSQL for Financial Services

Run and manage your financial services applications autonomously on Kubernetes

Drive real-time insights and architect fast, responsive financial services applications with NoSQL

Today’s digital financial services leaders are embracing next-generation database technology to build and run modern applications. Why? Because legacy technologies, including relational databases, are unable to keep up with the challenges in meeting requirements in real-time risk management, enterprise-wide analytics, digital banking, and automating government regulatory compliance. With more pressure to deliver speedy, contextualized, and real-time financial data, while concurrently managing regulations, these companies are leveraging Couchbase to offload their mainframe applications and provide that next-generation data infrastructure.

FICO powers sub-millisecond response times on the world’s leading fraud detection platform with Couchbase.

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manish sinha car.com amazon web services

Wells Fargo, the world’s second-largest bank, monitors 50M+ transactions per day for fraud in real time with Couchbase.

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Consumer credit reporting agency Equifax aggregates consumer data for more than 91M businesses worldwide, achieving 5 millisecond response times with Couchbase.
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Why Couchbase NoSQL for financial services

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. Unlike MongoDB™, Couchbase won’t run out of steam when you need it most.

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

Analytics: Integrated analytics capabilities for real-time data insights

Couchbase Analytics reduces the time to insight on operational data and simplifies operations for analytical data pipelines. Run ad hoc queries on financial data for real-time results on applications like fraud detection, trade analytics, and more, and apply real-time analytics to surface risk issues as they occur.

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

Documentation: Deploying the Analytics Service

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. Yapstone, a global payments platform, chose Couchbase for its active-active global deployment.

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

Flexibility: Lower costs and faster time to market

Couchbase drives the flexibility and increased operational efficiency you need to not only get your financial services applications deployed quickly, but to keep up with the constantly changing data (risk assessment, market data, and more) in those applications. 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

Mobile: Integrated mobile capabilities support omnichannel experiences

Couchbase is the only NoSQL database that supports in-person payments, online banking portals, or mobile e-payments. 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 real-time fraud detection, personalization, and more.

Build a sample app with Couchbase Mobile

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

Financial services applications with Couchbase

Fraud detection and scoring

Manage the growing number of accounts, cards, and customers to provide fraud detection services in real time. FICO uses Couchbase to store hundreds of millions of card and account profiles with updates based on real-time consumer activity to provide fraud detection and scoring.

Apple, Android, and Samsung Pay tokens

Some of the world’s largest credit card providers are using Couchbase to manage the provisioning and mapping of their account holders to their mobile wallet applications.

E-payments

Get swift access to user information and manage user information at massive scale to power e-payment platforms. PayPal uses Couchbase to manage over 1 billion documents and 10 terabytes of data and can now process millions of updates a minute with best-in-class analytics technologies.

Market data 360

Some of the world’s largest investment banks are using Couchbase to aggregate data from multiple sources, both inside and out, and easily provide additional operational services once the data is in a single location.

Trade blotter

Power access to current and historical market prices to build a web-based trade analytics portal for trader analysis. Couchbase provides the high availability and low latency requirements, and supports large quantities of data per user.

Real-time risk analysis

Couchbase acts as a fast and scalable data layer underneath Spark or custom-built applications that produce real-time profit and loss and risk analysis. Reducing the time it takes to present the risk after any trade is made means faster time to insight and action.

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.

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 scale to meet those demands. Wells Fargo uses Couchbase for their user profile store for fraud detection.

Personalization

Capture omnichannel customer engagements to create a single view of your customer and provide real-time, personalized updates and offers at every customer touchpoint, including cross-sell and upsell opportunities.