ebay

ebay

View Bio

ebay

One of the keys to eBay’s extraordinary success is its ability to turn the enormous volumes of data it generates into intuitive, intelligent searches and useful insights for its customers.

To accommodate eBay’s explosive data growth (its data centers perform billions of reads and writes each day) and the increasing demand to process data at blistering speeds for billions of live listings, eBay needed a solution that did not have the typical bottlenecks, scalability issues and transactional constraints associated with common relational database approaches.

Learn More

Capital One

Capital One

View Bio

Capital One

Most people know about Capital One’s credit card dominance and “What’s in Your Wallet?” commercials, but not many people know how the banking and financial services industry (BFSI) powerhouse managed to pull off one of the biggest enterprise-level digital transformations of the 21st century.

This customer success story shows just what’s possible in BFSI with a distributed, easily scalable cloud database built for hybrid cloud and designed for bringing powerful applications to the fore quickly and effectively.

Learn More

Macy's

Macy's

View Bio

Macy's

One the largest and oldest department store chains in the world, Macy’s embraces its storied history but like any business needs to be able to adapt to new times and new customer demands. 

Facing a heavy increase in traffic for its ecommerce site and omnichannel catalog, Macy’s needed something far more powerful and flexible than the relational database it was using.

Learn More

Bank of America

Bank of America

View Bio

Bank of America

When you really know your customer, you can create meaningful experiences that go far beyond a list of features and benefits to build true brand loyalty. To do this, you need to get more information from the data you’ve collected. 

Using powerful analytics, you can dig deep and discover who your customers really are—how they live, what they dream of and what makes them tick. By using that knowledge to customize their experience, you can create a loyalty that lasts a lifetime.

Learn More

ACI Worldwide, Inc.

ACI Worldwide, Inc.

View Bio

ACI Worldwide, Inc.

ACI Worldwide, a payment systems software leader and pioneer, needed to ramp up its database power and flexibility to be able to handle the increasing volume of transactions running across its globe-spanning payment systems. 

With the risk of payment transaction fraud increasing exponentially with the volume of transactions, ACI Worldwide knew it needed a database made to scale easily and to analyze massive volumes of data in real-time.

Learn More

Babylon Health

Babylon Health

View Bio

Babylon Health

Babylon Health handles an incredibly high volume of sensitive patient data that it needs to keep secure but also usable for invaluable patient insights. With the healthcare world rapidly shifting to one of personalization and lower costs, Babylon saw an opportunity to significantly expand and improve its service via groundbreaking cloud applications. 

Using DataStax Enterprise, Babylon has been able to build highly personalized, mobile-based, 24-7 healthcare service while securing its customers’ valuable data.

Learn More

Bouygues Telecom

Bouygues Telecom

View Bio

Bouygues Telecom

Bouygues Telecom, a French mobile phone, Internet service provider, and Internet Protocol and television (IPTV) company, was struggling with data quality and data availability for its provisioning system, which keeps its networks running.

To avoid using obsolete data and experiencing service outages, Bouygues Telecom needed to rethink the use of its relational database and find something far more powerful and flexible.

Learn More

C&S Wholesale Grocers, Inc.

C&S Wholesale Grocers, Inc.

View Bio

C&S Wholesale Grocers, Inc.

The 10th-largest privately held company in the United States, C&S provides more than 140,000 SKUs of food and nonfood items to 6,500 corporate customers. It has more than 17,000 associates in 16 states, and storage space of more than 18 million square feet. 

C&S needed to get rid of data silos and build a powerful app for real-time collaboration and warehouse activity monitoring.

Learn More

Condé Nast

Condé Nast

View Bio

Condé Nast

American publishing icon Condé Nast embarked on a mission to use deep analysis of customer behavioral data to drive user engagement and improve subscription rates. 

To achieve this, it needed a database that could process a large volume of user data quickly and in real-time and achieve high performance at scale without breaking the bank. 

Diginomica Exclusive: Condé Nast on the pursuit of customer experience at web-scale, with DataStax Enterprise.

Learn More

Equinix

Equinix

View Bio

Equinix

The world’s leading provider of colocation data centers, Equinix handles massive volumes of data for customers ranging from the Amazons and Microsofts of the world to smaller enterprises using Equinix to connect to networks and clouds. 

Data was piling up too fast for Equinix, way too fast for its relational database, and it needed something that could scale easily to support its data expansion.

Learn More

Intercontinental Exchange (ICE)

Intercontinental Exchange (ICE)

View Bio

Intercontinental Exchange (ICE)

Intercontinental Exchange (ICE) builds and operates global financial and commodity markets, including the New York Stock Exchange (NYSE). To be able to design powerful and innovative applications that connect investors and traders with real-time financial information, they rely on one key function: harnessing and analyzing massive volumes of real-time data with high reliability. 

This is a true example of real-time data in action and the power of an always-on cloud database.

Learn More

Locstat logo

Locstat

View Bio

Locstat

Headquartered in Cape Town, South Africa, Locstat connects and orchestrates multiple IoT sources of information to deliver graph powered next-generation advanced complex event processing and a common operating picture for any defined geographical location. The company fills a niche market in the IoT industry by providing deep analysis and predictive analytics on the sensor data IoT devices provide to companies.

Built on open source products, Locstat needed a solution that could push analysis time from two to three weeks down to minutes to generate the graphs used in their analytics. They also needed a cloud database solution that could support big data, scale, and handle analyzing millions of data points per day. 

Learn More

Macquarie Group

Macquarie Group

View Bio

Macquarie Group

Australia’s largest investment bank, Macquarie was seeking to provide a more human and intuitive experience than traditional brick and mortar banks by building fast, intimate, and personalized banking applications for its customers. 

To create these online and mobile applications that give customers the power to take control of their finances, Macquarie needed a scalable, flexible, always-on database with real-time capabilities.

Learn More

Metro

Metro

View Bio

Metro

To improve internal operations and better serve its customers, METRO, an international wholesale and retail food specialist company that operates in 35 countries, needed to migrate parts of its legacy systems to a microservices-based architecture and scale up to 165 clusters at data centers around the globe. 

To achieve this transformation and also better manage its growing hybrid cloud database, METRO needed to successfully start using Google Cloud native services in conjunction with Apache Cassandra™.

Learn More

Mobile Pay

Mobile Pay

View Bio

Mobile Pay

MobilePay has quickly become Denmark’s go-to payments application. While the success has been welcomed and expected, it’s also come with major challenges on the data management side. 

To be able to handle the spike in application users and transactional volume, MobilePay’s IT team needed to completely rethink its data management strategy and switch to a cloud-based infrastructure that uses a microservices-based approach to building modern applications.

Learn More

RevTrax

RevTrax

View Bio

RevTrax

RevTrax provides an AI-based promotional and advertising offer management platform that enables businesses to run smarter offers, track attribution from ad to purchase, and drive higher return on investment (ROI) for their digital marketing campaigns. 

They selected DataStax Enterprise (DSE) to scale to meet growing business needs and realized a 10 times increase in performance with zero downtime.

Learn More

Saab Medav Technologies logo

Saab Medav Technologies

View Bio

Saab Medav Technologies

Saab Medav Technologies is a leading global provider of military defense and civil security products, services, and solutions, including signal processing and analysis. They needed a highly scalable, high-performance database to implement a new product line. They chose DataStax Enterprise for its ability to meet their needs.

Learn More

Sling TV

Sling TV

View Bio

Sling TV

The #1 live TV streaming service with approximately 2.3 million customers, Sling TV was looking to provide a more personalized service for its users. 

They recognized the need for a highly available, scalable, and centralized data solution for their 16 platforms to deliver a great customer experience. They also wanted to build the Sling TV backend on-demand in a hybrid cloud environment. 

Learn More