Customers

AEDES

Public health consulting organization AEDES is currently developing CERHIS – a tactile hospital information system that brings digital services to small and medium-sized hospitals in sub-Saharan Africa, which has some of the most challenging environments for healthcare information management. With Couchbase, AEDES can help hospitals move away from paper-based systems to more accurate and efficient record keeping using a low-cost mobile solution.

AEDES mission is to contribute to improve the quality and access to health care around the world. For this purpose, AEDES promotes the share and transfer of knowledge, by providing experimented human resources and performing consulting and management services in the area of health and food security. 

AEDES operates in industrialised, developing and intermediate countries, for private and public organisations. AEDES seeks to promote the principles of sustainable development in its three dimensions: economic, social and environmental.

Amadeus

Today’s travel industry is experiencing rapid growth, high customer expectations, fierce competition, and pressure on margins. Amadeus, the leading Global Distribution System (GDS) and the largest processor of travel bookings in the world, looked to NoSQL and Couchbase – shifting away from Oracle – to meet stringent data management needs within a demanding industry. In 2008, Amadeus implemented Memcached on a MySQL database. By 2013, Amadeus leveraged Couchbase Server for two applications: Amadeus Selling Platform Connect, a website for professional travel agents such as Thomson and Expedia, and the global booking engine, Availability Processing Engine. The company made the complete shift to Couchbase in 2014 and had 800 million passengers travel with flights arranged by Amadeus in 2015. By adopting NoSQL, Amadeus was able to maintain its key/value store architecture, while pushing the complexity of data distribution down into the database level. Today, Amadeus uses Couchbase in seven applications which are able to process petabytes of data in upwards of 2.5 million operations per second.

BD

As a leading medical technology company, BD is constantly looking for new ways to improve diagnostics and the delivery of health care. In the case of Type 2 diabetes, a major obstacle to optimized treatment has been the lack of individualized data. It’s too difficult for patients to collect the data, and even when they do, doctors don’t have the time to sort through it all. BD’s innovative solution is a mobile patient app and clinician portal built on Couchbase and Couchbase Mobile. The solution uses connected medical devices and a mobile app to automatically log real-time data on a patient’s insulin and glucose levels, activities, meals, and location. Based on the data, the mobile app provides patients with customized alerts and recommendations. The clinician portal collects all the data and presents it to doctors in an efficient format for making diagnoses and determining the best course of treatment. Couchbase provides the offline capabilities of the patient application and secure synchronization of patient data from the medical IoT devices to the cloud. BD chose Couchbase because Couchbase made it extremely easy to launch the app and portal and to add rules over time as the solution evolved.

Betfair

Betfair, one of the world’s largest international online sports betting providers uses transactional data and operational monitoring in a smattering of applications that serve over 30,000 markets. Historically, their applications have run on Oracle, which they felt was reliable and well known, but had a few issues including impedance mismatch with object-oriented languages and scaling, among others. The company turned to NoSQL for its scalability, fast lookups, integration with continuous delivery, and ultimately, reduced time to delivery. Teams throughout the company began using a multitude of different NoSQL databases including MongoDB, Cassandra, HBase, CouchDB, Redis, and Memcached. In 2013, the company began to question whether the NoSQL solutions they had chosen were the optimal fit for the applications they were being deployed for. They started their investigation by evaluating all NoSQL solutions, adding Couchbase into the mix, and discovered that Cassandra was one of the solutions that was not a good fit for their use case. Couchbase replaced Cassandra in this instance and in their Memcached instance because Couchbase was fast, deterministic, avoided cold cache, and was considered a far better option than their current solution. Couchbase is now Betfair’s strategic document NoSQL solution and processes 30,000 bets per minute, across 140 countries from more than 4 million funded user accounts.

BT

Multinational telecommunications company BT has operations in 180 countries and over 1.5 million subscribers. To keep them happy, the company needs to deliver content at high performance when and where viewers want to access it. With Couchbase’s flexible data model, it can accelerate delivery of new features across all platforms while easily scaling to maintain high performance regardless of spikes in demand.

Cars.com

The mission of Cars.com is to be the leading decision engine that moves people through the car ownership cycle with transparent, fun, and engaging experiences. As the expectations of customers continued to rise, the company realized it needed a better database to manage its data assets, flexibly evolve them for new use cases, quickly serve them to consumers, and easily ingest massive amounts of new data on a regular basis. After a rigorous vendor selection process that included demos, proof-of-concepts, and proposals from five solutions providers, Cars.com selected Couchbase in late 2015 and delivered its first projects into production in 2016. Its first use cases were data-rich vehicle listings for an ever-changing inventory of 5 million vehicles, extremely flexible user profiles, and product data and metrics for both internal and consumer use. One of the reasons Cars.com chose Couchbase was for the ability to quickly release new products, and Couchbase passed that test almost immediately when Cars.com successfully capitalized on an unexpected opportunity to develop a cutting-edge vehicle pricing application. Cars.com also likes that Couchbase is fully aligned with its cloud and SOA strategies and will enable the company to continually exceed customer expectations with more new products in the years to come.

CenterEdge Software

CenterEdge, a POS product provider for 500 global customers in the entertainment industry, began their NoSQL journey in 2012, when their SQL system crashed on Black Friday. After the load spike meltdown, the team determined that a cloud migration was the next step in their journey. They started by using Couchbase Server to address traffic upsurges — first as a cache and then moving into persistent storage and finally out of SQL altogether. By 2015, CenterEdge had become a beta customer for the latest version of Couchbase and have been at the forefront of N1QL users making operations and development easy in practice and transition. Today, CenterEdge relies on Couchbase for best-in-class analytics in a matter of milliseconds and is in the process of moving completely over to Couchbase from SQL.

Cisco

One of Cisco’s many industry solutions is VSRM (a video session and resource manager application), which cable companies use to enable their broadcast, on-demand, and DVR video services. Cisco’s VSRM platform supports 100+ billion user sessions per year for cable companies all around the world. The VSRM product was always very successful, but over time it became increasingly complex to scale, and customers also struggled with the failure rates of their legacy hardware. Cisco decided it was time to move the VSRM platform to NoSQL in the cloud to achieve the scalability it needed and the efficiency, reliability, and performance its customers demanded. After assessing numerous databases, including Cassandra and MongoDB, Cisco chose Couchbase for three primary reasons: It provides very strong data consistency that is comparable to a standalone system. It delivers reliable low latency, with consistent 500 microsecond response times at very large scale. And it provides great scalability in a distributed system. Cisco was also pleased to discover that Couchbase is “like a Swiss army knife,” for its clusters, giving the company a single tool to easily manage and maintain many aspects of its database.

Comcast

Comcast, a leading provider of video, high-speed internet and voice services with nearly 30 million customers, uses Couchbase to deliver better customer support across multiple lines of business. A key part of Comcast’s business model is to provide a customer experience that is always improving. Achieving that goal is complicated because customers interact with Comcast in many different ways – and capturing all those interactions to build a single view of each customer had become a serious challenge with relational technologies. With Couchbase, Comcast presents a complete picture of each customer’s account and status when support receives a call, resulting in better, faster service for the company’s customers.

Concur

Concur implemented a large Couchbase Server cluster, utilizing the Enyim (.NET) client for the web tier and the spymemcached (Java) client for the middle tier. They were impressed with the simplicity with which they could set up, configure, and scale the cluster. For example, the ability to use a single solution across multiple tiers and languages was a huge win for Concur and made Couchbase a more attractive option than other solutions, which required different implementations for each. Using the recommended reverse proxy setup, there’s just a single IP address for configuring REST connections and monitoring across multiple tiers. Couchbase's cluster management capabilities give Concur the ability to scale out their cluster with zero downtime. They also get the added benefit of zero configuration management when adding or removing nodes from their cluster because both the .NET and Java clients are automatically updated when there is a topology change, ensuring smooth and consistent growth of the Couchbase cluster across the entire environment.

COX Enterprises

HomeNet Automotive, a division of Cox Automotive, is a leading provider of online inventory management and marketing solutions for car dealers. HomeNet deployed Couchbase because the company needed to scale beyond the 6 million cars it was originally designed for and be able to process anywhere from 50 to 100 million vehicles a day. While the company uses SQL Server hardware, they rely on the speed, flexibility, and dependability of Couchbase to help meet the high-throughput, non-transactional, data requirements. The company first brought in NoSQL as a way to offload operations to Couchbase as a cache and has since made Couchbase the system of record.

Coyote

Coyote is reinventing how drivers across Europe can use data to improve their driving experience. The company’s community-based road information solution collects user input and delivers critical alerts to drivers about traffic, accidents, and more. When it was time to develop additional services for drivers, Coyote adopted the end-to- end Couchbase data platform for its scalable performance and offline functionality. The company met a tight deadline for a launch and saw fast acceptance by users, with more than 35% of users adopting the solution within three months. Coyote has helped boost engagement and better retain its users.

Cvent

With online event planning as its primary business, Cvent is constantly building new services for its customers. Over the years, the company’s product grew into a monolithic application that was increasingly difficult to scale. To overcome that obstacle, Cvent started delivering its product as hundreds of individual, but integrated, microservices — and they found Couchbase to be the ideal database to provide the performance, scalability, and flexibility this change required. A driving force behind the selection of Couchbase is its compatibility with Memcached, which allows Cvent to naturally transition its storage to Couchbase over time. For Cvent developers, the transition was just as easy. Because they were already using SQL, they were able to switch to N1QL without missing a beat — and they gained the ability to define their own data with schemaless data modeling, and create their own queries using multiple indexing options. Now, Cvent uses Couchbase across 8 development clusters and 45 teams to develop and run hundreds of microservices.

DIRECTV

DIRECTV, one of the world’s leading providers of digital television entertainment services runs software to support 38 million customers globally on 3,000 channels. Maintaining 100% uptime is a requirement in a multitude of conditions. The challenge the company faced was developing systems capable of supporting business changes in a fast-paced environment – all on a flexible database schema. For DIRECTV, managing entity relationship data models had become a constraint to advancing technologically. The company looked into multiple NoSQL solutions and dynamic languages offered in the hopes of simplifying the approach to modeling real-world objects. DIRECTV found a way using Node.js with Couchbase as an end-to-end solution – from the user’s web browser to the JSON object stored in the database. DIRECTV discovered Couchbase’s performance to be unparalleled with its RESTful API, and SQL-like query engine of N1QL.

Doddle

Doddle makes it easier to shop online by providing online customers from any retailer with convenient places like train stations, universities, and stores to pick up or return their packages. Doddle’s original database solution was expensive and hard to deploy – but even worse was the fact that Doddle struggled to provide quality network connections into their 80+ locations in the U.K. Doddle decided to go mobile for more reliable service, but even then access was spotty at peak business times when customers saturated the network with their mobile devices. Couchbase Mobile was the perfect solution because it was more affordable, easier to deploy, and its embedded database (Couchbase Lite) stores data locally, which keeps Doddle’s apps working for their customers and employees even when they go offline. The channels feature in Sync Gateway also allows Doddle to easily regulate what data individual employees can access, which gives them great flexibility to move employees and their mobile devices from store to store. The company started developing on Couchbase in April of 2016, went live in less than three months, and plans on rolling out hundreds of new stores on Couchbase in 2017.

ebay

As one of the world’s most popular e-commerce companies, ebay runs over 4,000 database servers to support 18 million sellers and 164 million active users worldwide. ebay has always been a heavy Oracle user, but over time realized Oracle was not the best fit for a lot of its use cases. Quite often, ebay was paying Oracle too much for features it didn’t need, while not getting all the features it did need. As a result, ebay switched a significant portion of its workload to NoSQL, and now uses Couchbase as a combination of key-value store and document database. Couchbase gives ebay the affordable scalability it needs along with very high read/write performance and throughput. A common use case is caching in front of Oracle in order to scale out applications without adding more Oracle. ebay found an unexpected bonus in N1QL (Couchbase’s SQL-like language for JSON), which allows developers to easily adapt their relational database skills to NoSQL. Last year, ebay doubled its number of Couchbase use cases and increased its number of Couchbase nodes 5x while handling 80 billion Couchbase calls per day.

Equifax

In the U.S., the financial data company Equifax is best known for providing credit scores used by lenders to make consumer loans. When the Federal National Mortgage Association announced major changes in their credit score requirements, Equifax had to act fast. The company decided to switch to a NoSQL database to get the high performance and scalability needed to provide 5-millisecond response times in a system handling 1.5 billion constantly changing records. After evaluating Couchbase against MongoDB and Redis, Equifax decided Couchbase was the clear winner. The most important differentiator was Couchbase’s Multi-Dimensional Scaling, which Equifax uses to scale individual workloads separately. Equifax was also able to quickly and easily implement disaster recovery using Couchbase’s cross datacenter replication (XDCR) and master-master replication scheme. The operations team was sold on the power of the Memcached protocol and RESTful API for system monitoring and management. Developers liked the simplicity and flexibility of N1QL, Couchbase’s SQL-based query language for JSON. By replacing Hadoop with RxJava, the development team was able to process 300+ million documents in 40 minutes. Couchbase’s technical support team sealed the deal by partnering closely with Equifax during the intense 24/7 production cycle in the months prior to launch.

FICO

Powered by Couchbase, FICO’s fraud detection platform is #1 in the world and scores 65% of the world’s credit/debit cards. Downtime means fraud and lost revenue for the company, so when FICO was chosen to provide credit checks, fraud screening, and targeted offers for new telecommunications customers both in-store and online, it needed a NoSQL database that could deliver high availability alongside high transactional volume. Couchbase was chosen over Cassandra and MongoDB for speed, scalability, availability, and persistence to support large XML objects.

Gannett

Gannett is one of America’s largest media companies, with systems that are accessed by 96 million visitors per month. The company began considering NoSQL when they experienced network outages and replication issues with SQL Server. Moreover, Gannett wanted a more portable infrastructure at a lower cost. After evaluating several of the top NoSQL players including MongoDB and Cassandra, Gannett chose Couchbase due to its memory-first architecture. Currently, Gannett plans to redesign its architecture in favor of using Couchbase which will support higher read/write speeds, greater scale and access, and cost a fraction of their previous annual spend. Gannett runs Couchbase on Amazon Web Services.

GE

Today’s innovative software is providing new ways for industrial companies to gain a competitive advantage. General Electric set out to bring together device connectivity, data integration and management, data analytics, cloud, and mobility all in a way that works seamlessly together and intuitively for all the members of its business. More specifically, the company needed to provide offline support to GE field engineers who work in remote locations where offline is the norm. In 2015, GE launched the Predix platform, a cloud-based software solution for the Industrial Internet. The Predix Experience engineering team built this platform using Couchbase Mobile in less than 90 days. The platform connects industrial machines like wind turbines, railcars, power plants and more that need 100% uptime, regardless of Internet connection. Predix is now the foundation for all of GE’s Industrial Internet applications and provides powerful, consistent, secure, and scalable support for the solutions its customers rely on to optimize their businesses.

Innovative Transit Solutions

Innovative Transit Solutions grew out of an initiative to modernize fares for the Las Vegas Monorail by providing fast, convenient ways for riders to purchase and use digital tickets and helping the transit organization eliminate the high costs of maintaining traditional mag-stripe ticket systems. Innovative Transit developed Transit Cloud, its new fare solution, using Couchbase Data Platform – a robust Engagement Database that provides strong performance and offline functionality. By delivering a superior rider experience, the solution boosted monorail ridership by nearly 30% and increased revenue by 50% compared to the previous year.

Jam City

Jam City is a leader in mobile entertainment, providing unique and deeply engaging games that appeal to broad global audiences. Its wildly popular puzzle game Cookie Jam won Facebook's Game of the Year after scaling to meet the demand of 5 million users globally in under 8 months. Jam City and Couchbase teamed up in preparation for the huge spike in social and mobile hits once Cookie Jam had begun gaining traction, successfully avoiding downtime with Couchbase performance at scale and flexibility in rebalance and failover through Cross datacenter replication. And the flexible JSON data model that Couchbase offers enabled Jam City to iterate without having to request and wait for schema changes. Today, Jam City leverages Couchbase for several of their most popular games, including Panda Pop and Juice Jam, among others.

KDDI

KDDI Business ID is an enterprise cloud service for businesses who want to securely manage user IDs for SaaS products such as G Suite, Office 365, and Salesforce. Fast and flexible deployment was a top priority for KDDI, so they knew from the start they wanted to have a NoSQL database rather than an RDBMS. After considering several candidates, KDDI chose Couchbase for a number of reasons. For starters, they found Couchbase to be extremely flexible in accommodating their agile development style, and in its ability to store both JSON and binary data. Next, they were impressed by Couchbase’s strong balance of industry-leading performance and high reliability. KDDI also has to provide its customers with uninterrupted service along with easy and unlimited scalability, and Couchbase makes it simple by providing push-button scalability that adds a server to a cluster with no downtime. Another key requirement for KDDI is high availability (especially for disaster recovery), and Couchbase’s cross datacenter replication (XDCR) makes it simple to achieve. With ease of operation for everything from deployment to recovery, Couchbase makes cloud services fast, secure, and reliable for KDDI and its customers.

LinkedIn

As the world’s largest online professional network, LinkedIn has to monitor and analyze massive amounts of data to ensure its site is available 24/7 for its 500+ million members. As its user base skyrocketed, LinkedIn quickly outgrew the limited flexibility and scalability of Oracle and turned to Memcached to run its source of truth (SoT) store. But Memcached had its own drawbacks, so LinkedIn continued looking at alternatives, including Couchbase, MongoDB, and Redis. Couchbase was the clear winner due to many distinct advantages. Most importantly, it has built-in replication and cluster expansion, automatic partitioning, extremely low latency, it does asynchronous writes to disk, and it enabled simple replacement of Memcached. Because Couchbase was so easy to use, LinkedIn’s site reliability engineers love it, and quickly expanded its use cases to include simple read-through cache, counter stores, de-duping stores, and their SoT store. Within four years, Couchbase grew from a single proof of concept to the number one caching solution within LinkedIn. Today, all in-memory storage in the LinkedIn datacenter is done by Couchbase, and it powers 10+ million queries per second across all servers and clusters.

Marriott

When Marriott decided it was time to replace its legacy infrastructure to better compete in the Digital Economy, IT leadership faced core technology decisions. The company evaluated several NoSQL solutions before deciding to switch to Couchbase. Marriott was drawn to Couchbase by recommendations of other large-volume, high transaction customers along with technical aspects that suited their use case. By making the switch to Couchbase, Marriott achieved an open source, cloud-based model with a document-oriented and distributed structure that enabled the company to reduce application development costs, improve speed, and modernize their infrastructure. Today, Marriott stores 13 million documents and runs 200 transactions per second using Couchbase and has plans to expand their deployment.

McGraw Hill

When McGraw-Hill Education (MHE) decided it was time to move its traditional media publishing company into the digital world, it started by taking lessons from advertising and social gaming companies. Like those companies, MHE wanted to scale to millions of users while supporting open content, metadata from third parties, and interactive apps in order to provide a rich and personalized experience for every user. MHE experimented with a number of technologies including XML databases, SQL, in-memory data grids, and enterprise search servers – but none of them could provide the massive scalability MHE required. After identifying existing use cases that matched what they were trying to achieve, MHE realized their perfect combination was Couchbase Server with Elasticsearch. The result is a self-adapting learning portal that delivers personalized results for every learner. Users can browse and search text, video, and images with lightning fast access to both the content and metadata. The users’ profiles are automatically enhanced based on their behaviors and actions, then the profiles are incorporated into search queries to deliver personalized results.

Mirror Image

Mirror Image has been a pioneer in online content delivery for advertising, media and entertainment, eCommerce, and other worldwide industries for two decades. Today, the success of their customers often depends on real-time data-intensive personalization techniques involving context, behavior, and location. To deliver the modern experience their customers demand, Mirror Image turned to Couchbase to develop and manage its next-generation geo-distributed database as a service. Mirror Image chose Couchbase for its proven track record of bulletproof reliability, along with its flexibility, performance, and built-in replication technology. Couchbase’s flexible, document-based data model allows customers to work with complex data sets with thousands of attributes while easily evolving to meet new requirements. Couchbase’s cross datacenter replication (XDCR) makes it easy to replicate customer data to all of Mirror Image’s data centers worldwide. And the memory-centric architecture of Couchbase Server replicates data to remote data centers immediately, so content publishers can access it in milliseconds to provide amazing customer experiences.

Nielsen

Nielsen’s Answers on Demand (AOD) service delivers ratings data and other information for businesses in more than 100 countries. With the inflow of massive volumes of data and the requirement to deliver highly targeted results for clients, the ability to sift through datasets quickly and effectively is critical. Faced with the challenge of tracking sales of fast-moving consumer goods and reporting those insights to their customers, Nielsen needed a backend solution that could store user-generated data while providing extremely fast response times and low latency. The company turned to Couchbase to sidestep many of the limitations of Oracle, and gained a 50% boost in response time. Couchbase has allowed Nielsen to achieve a more detailed and granular understanding of customer buying patterns and behavior while reducing time required to manage and update systems. Nielsen currently uses Couchbase as a document store and heavily leverages N1QL for big data analytics.

Nuance

In 2013, Varolii, a Nuance Communications company, began evaluating backend solutions for its automated notifications product geared toward enterprises. For the previous 10 years, the company deployed an all-Oracle environment, but found that the monolithic platforms were difficult to manage from an engineering perspective. Varolii mobilized MongoDB for a small project which worked for the initial size and scope; however, efforts to expand to a second data center posed challenges with bidirectional replication issues. Upon review, Varolii identified must-have requirements including multi-master database replication, horizontal scaling, open source, and VM support. They evaluated Cassandra and Couchbase which were closely aligned, yet Couchbase outperformed Cassandra in ease of use. Further, Cassandra didn't provide the document database aspect they wanted to leverage in addition to key-value capability, and querying was also much more involved. Today, Nuance leverages Couchbase in their Varolii solution and uses the Hadoop integration to connect SQL-based analysis to the world of unstructured data.

Paypal

In 2013, PayPal, a global leader in online payments solutions, took on NoSQL for several use cases. They initially leveraged Couchbase for their Media Network Advertising pipeline and applied Couchbase to build cross-channel audience analytics in profiling, segmentation, identity mapping and more. By 2014, the company was managing over 1 billion documents and 10 terabytes of data with Couchbase. PayPal extended Couchbase use into analytics for user information, processing millions of updates a minute in conjunction with Kafka and Hadoop.
 

PG&E

Leading utility company PG&E has more than 16 million customers and 20,000 employees. To work effectively over a huge geographic area, the company needs to provide PG&E gas and electric power inspectors in the field with real-time data, such as customer account information, utility infrastructure maps, and safety information. With Couchbase, the company can provide connect its teams with this data, whether they’re offline or online, while improving service and lowering the cost of field visits. Cross datacenter replication (XDCR) adds resiliency, ensuring workers can depend on the application to be available when they arrive at the job site.


 

POKÉMON GO

Pokémon Trainer Club, the legacy profile management service supporting Pokémon Go and other Pokémon apps, was built on top of a relational database. While it was capable of supporting existing users, it could not scale to support the millions of new users expected after launching Pokémon Go. The Pokémon Company International needed a database capable of scaling, so it chose Couchbase. With Multi-Dimensional Scaling and N1QL, administrators were able to cope with launch traffic by scaling the query and index services independently rather than scaling the entire database – eliminating the need to rebalance or “move the data around,” a process with significant overhead.

rapidBizApps

rapidBizApps creates intuitive and reliable mobile apps that drive transformational results in physically demanding, capital-intensive industries such as mining. Using rapidBizApps solutions such as groundHog, rapidInspect, and formHound, mining companies are tracking performance and capturing vital data from equipment deployed above and below ground. Companies can use this data to optimize fleet management, improve worker productivity, streamline inspections, reduce equipment downtime, and more. With Couchbase, rapidBizApps can empower its customers to optimize resources and protect miners in the harshest, most remote locations.

Red Bull TV

Red Bull TV is a global multi-platform channel, distributed digitally on connected TVs, smartphones, tablets, and on its website. The channel is available globally and free of charge. The company needed to create a superior viewing experience for users to consume over 1,000 hours of customer content. Couchbase performance at scale allows Red Bull TV to grow in lock-step with demand while easy integration with infrastructure components like Vertx and Kafka allows the company to make better business decisions based on viewer analytics.

Ryanair

Couchbase Mobile helped Ryanair increase their app performance and enhance their user experience. Ryanair was also able to overhaul their app experience without significant re-architecture to their existing app. Ryanair runs Couchbase on Amazon Web Services.

With Couchbase Mobile, Ryanair can easily manage semi-static data, did not have to implement their own synchronization and storage solution, and was able to integrate with existing Android and iOS apps without significant re-architecture.

SafetyCulture

Organizations across industries and around the globe use SafetyCulture’s mobile-first iAuditor application to conduct over 1.47 million workplace inspections every month. From the beginning, SafetyCulture has relied on NoSQL technology for its data platform, but soon they needed a more scalable and flexible solution as their customer base and the number of use cases for their app continued to grow. They decided to move toward a microservices approach with Amazon Web Services, and Couchbase became the clear choice for their NoSQL data platform. Couchbase easily scales to meet the needs of SafetyCulture’s rapidly increasing number of users and documents. It provides the flexibility to support continuous application innovation with minimal changes to the data platform. And it provides reliable security for millions of documents containing sensitive customer data. SafetyCulture is also using N1QL (Couchbase’s SQL-based query language for JSON) to develop new application capabilities and use cases.

Seenit

Founded in 2014, Seenit is built from the ground up with Couchbase Server and Couchbase Mobile to provide enterprises with a collaborative video platform that’s innovative and easy to use. The premise of Seenit is simple: Crowdsourcing video from employees, fans, and other amateurs provides a raw authenticity that can’t be captured any other way. The main challenge is enabling users to sort through hundreds or thousands of video clips to find the shots they really want. By applying Couchbase’s N1QL and Full Text Search (FTS) over machine learning in the Google Cloud, Seenit provides its customers with an incredibly powerful search function that allows them to filter submissions by objects in the video, specific words or phrases in the audio, video and audio quality, sentiment, and many other attributes. N1QL enables Seenit to sort, filter, transform, group, and combine data from multiple JSON documents with a single query. And Couchbase’s FTS allows Seenit to provide fuzzy search, word stemming, boosting, and other complex search features with just a few lines of code. Seenit implemented full-text search across its entire platform in only a week, and now its customers can search hundreds of thousands of documents in a fraction of a second.

Shop.com

As a business that caters to the most demanding online shoppers, Shop.com needs to know that its website always delivers a flawless experience and its apps work without a hitch even when mobile users lose their connection. After carefully considering its options, Shop.com chose Couchbase for its memory-first database that delivers simplicity along with high performance and scalability. What really sealed the deal was Couchbase Lite, which is Couchbase’s embedded JSON database, along with Sync Gateway, which syncs mobile devices with data centers. Couchbase Mobile not only provides the dependable offline mobile solution Shop.com was looking for, it also allows the company to develop new functionality quickly without having to build full-fledged APIs.

Sky

As Europe’s leading entertainment provider, Sky has to stay a step ahead of constant technology challenges like streaming content, which put ever-increasing demands on their database. Frustrated with the scalability and performance limitations of their legacy Oracle RDBMS, Sky knew it was time to begin the transition to NoSQL and Couchbase when their data center reached capacity. They started by moving their identity platform, which provides full sign-up and sign-in functionality for all Sky’s online products. As part of their transformation, Sky embraced the use of distributed databases to cope with growing demand and spiky traffic patterns. Couchbase’s cross datacenter replication (XDCR) worked flawlessly for the data transfer to multiple data centers. In fact XDCR worked so well that Sky decided to use it to migrate all their data stores to Couchbase. The moves reduced sign-in response time by 50% and had huge implications for disaster recovery, dropping the recovery time from hours to minutes. Sky is now actively growing the Couchbase community within their company and looking for more ways to switch from Oracle to Couchbase.

Super Evil Megacorp

Super Evil Megacorp has the simple, yet ambitious goal of providing the best online and mobile gaming experience in the world. Couchbase became an essential part of that quest when Super Evil Megacorp’s previous platform reached maximum capacity. If any game experiences lag or downtime, it can be disastrous because players are notoriously quick to jump to the competition when games falter. This became a real risk for Super Evil Megacorp because their platform was extremely difficult to scale. Couchbase proved to be the perfect solution. It not only delivered sub-millisecond latency while getting back more data than the previous platform, but it also enabled Super Evil Megacorp to migrate their game modules and player accounts without any downtime. Now, using Couchbase’s Multi-Dimensional Scaling, the company can flexibly grow its architecture however and whenever it needs to. Because they can now use commodity hardware, the company expects to cut its database costs by 60%-70%. And because their core team can now spend more time on innovation instead of managing crises, they’re a giant step closer to revolutionizing the gaming industry.

Synamedia

Synamedia (formerly Cisco) is the largest global provider of video solutions for pay TV operators, enabling new and augmented video services to drive revenues, boldly reach new markets, and deliver exceptional subscriber experiences to consumers. To support its video platform technology, which enables broadcast, on-demand, and DVR video services, Synamedia needs high performance at scale to ensure it can accommodate over 100 billion user sessions per year. After assessing numerous NoSQL databases, including Cassandra and MongoDB

SyncThink

To help minimize the long-term damage caused by concussions, SyncThink’s EYE-SYNC platform uses a VR headset and tablet to rapidly assess and monitor brain impairment in athletes, soldiers, and others. The Couchbase Data Platform offered the security necessary for meeting patient privacy regulations as well as offline functionality for supporting speedy assessments in environments with limited bandwidth. Running on the Microsoft Azure cloud environment, the robust solution lets doctors run tests, capture metrics, and then sync data to help patients get the medical attention they need right away.

Telefonica

Telefónica, S.A. is a Spanish multinational broadband and telecommunications company headquartered in Madrid, Spain. Telefónica runs its global video platform on Couchbase, supporting seamless playback and 50M hits per day. Couchbase acts as a caching layer, delivering highly scalable performance as the company grows, ensuring its customers continue to have fast playback and great viewing experiences.

TESCO

Couchbase powers catalog and inventory management at the third-largest retailer in the world measured by gross revenues, allowing Tesco to easily support tens of millions of products in-store and online for millions of customers. With Couchbase, Tesco can deliver a superior shopping experience, running price and promotions, stocking, shopping cart, supply chain, and new product apps with high performance and high availability.

Tommy Hilfiger

In 2015 Tommy Hilfiger revolutionized the buying journey for its wholesale customers by pioneering the industry’s first digital showroom in Amsterdam. In this showroom, buyers could browse fashions for the upcoming season on oversized ultra-high definition screens along with product details, pricing, buying history, delivery dates, and more. The company chose the Couchbase Data platform to power the system because they needed the entire showroom experience to be as high-end as the fashions being showcased. With Couchbase, Tommy Hilfiger knew they would get industry-leading performance and scalability, offline availability, and near real-time data synchronization for a smooth and immersive experience that was always up-to-date and worked flawlessly even if the internet went down. Today the brand has Couchbase-powered digital showrooms in 13 countries totaling 24 theaters and 59 workstations, and plans to expand to over 25 locations worldwide by the end of 2018. Thanks to the incredible efficiency of theses digital showrooms, the company has cut its sample production by 80% at its European headquarters and is on track to do the same around the globe.

United

United Airlines is one of the largest airlines in the world, with over 1.5 million flights in 2015 alone. United has embarked on a process to upgrade and modernize their flight operations technology for 41,000+ pilots, flight attendants, and flight schedulers. When launching the “Crew Modernization” program, Couchbase Server and Couchbase Mobile were selected as the underlying technologies to help improve employee experience and increase efficiency. With Couchbase, United Airlines is able to maintain accurate and up-to-date information from multiple mainframe application data silos, build a foundational technology platform that services all information channels, and quickly build and deploy FAA-approved mobile applications. The Crew Modernization program now provides pilots with flight information, simplifies flight attendant tasks, and streamlines information to personnel across geographies, time zones, and devices. Going forward, United Airlines plans to roll out additional Couchbase-based applications, including personalized customer information synchronization, airport agent real-time flight updates, and gate display information management.

Verizon

In 2015, the global communications company Verizon launched ThingSpace, an innovative IoT development platform for its enterprise customers. To enable the real-time dashboards, reports, notifications, alerts, and other capabilities its customers require, Verizon needs a highly available environment that never goes down. Verizon also has to scale the solution to support the exponential growth of IoT devices in the system, along with the unique data and reporting required for each customer. Verizon’s legacy RDBMS simply couldn’t meet the challenge – its response times were slow and unpredictable, stored procedure optimization was overly complex, and time-to-market for new features was too long. Couchbase met every requirement with predictable performance, horizontal scalability, and a flexible data model that makes it easy to add new functionality on a continuous basis. Couchbase’s cross datacenter (XDCR) functionality also makes it easy for Verizon to connect two active-active data centers for high availability. Today, Verizon uses Couchbase clusters to sustain 3.5 million operations per second.

Viber

In late 2013, Viber, a fast-growing messaging platform, was pushed to scale at a rate their backend could no longer support. At the time, the company had deployed 300 nodes – mostly composed of NoSQL competitor MongoDB, in combination with Redis – to address their scaling issues. In 2014, Viber announced its switch to Couchbase given the massive growth and scale the platform was attaining. The company was drawn to Couchbase by its easy and transparent sharding and scaling model, ability to provide higher throughput, and reduced number of nodes required. Couchbase’s unique consolidation of caching and database tiers made the technology especially appealing to Viber. Today Viber continues to use Couchbase to serve 12% of the world’s mobile devices with always-available messaging.

Wells Fargo

Wells Fargo, the world's second-largest bank by market capitalization and the fourth largest bank in the U.S. by total assets, uses Couchbase to support its fraud monitoring infrastructure. High performance, high availability, and easy scalability help Wells Fargo monitor each and every transaction for fraud at less than 10 ms per operation for 9,000 reads and writes per second.

Willis Towers Watson

As a leading multinational risk advisor for the insurance industry, Willis Towers Watson is known for providing best-in-class analytical tools and data for its staff and clients. In order to promote innovation and maintain the highest possible standards, the company identified the need to improve the speed, reliability, and performance of its core risk analytics systems. The global analytics team researched a number of NoSQL database technologies and selected Couchbase because it provides high availability through replication and auto failover, the best performance for caching, and a flexible data model for ease of storing unstructured data. It also met their requirements of handling millions of data items and being easily integrated into their existing Microsoft development environment. Because Couchbase is open source, Willis was able to fully test and evaluate the technology before committing. After Couchbase showed consistent high performance and flexibility in a few critical projects, Willis made Couchbase its de facto NoSQL database solution for a wide range of business-critical and customer-facing applications.