Customer Case Studies

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Betfair switched from Oracle to Couchbase to gain easy scalability and high performance for processing 30,000 online bets per minute.

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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 takes advantage of Couchbase’s flexibility to accelerate delivery of new features to millions of media subscribers in 180 countries.

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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.

CenterEdge uses Couchbase Full-Text Search to give its customers lightning-fast access to millions of customer records in the cloud.

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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.

Comcast uses Couchbase to improve customer experiences and deliver unified support across its many lines of business.

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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.

Cvent uses Couchbase across 8 development clusters and 45 teams to develop and run hundreds of microservices.

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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 runs Couchbase using N1QL and Node.js to support 38 million customers on 3,000 channels around the globe.

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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.

Gannett cut its licensing fees by 75% when it moved its systems to Couchbase for greater reliability, flexibility, and hybrid cloud support.

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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.

McGraw Hill Education uses Couchbase with Elasticsearch to scale rich and personalized learning experiences to millions of users.

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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.

Nielsen migrated the backend system for its consumer analytics service from Oracle to Couchbase and improved response times by 50%.

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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.

Seenit built its collaborative video platform from the ground up with Couchbase on top of machine learning in the cloud.

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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.

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Europe’s largest media company, Sky, uses XDCR to reduce sign-in time by 50% and cut disaster recovery time from hours to minutes.

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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.

As the largest global provider of video solutions for pay TV, Synamedia counts on Couchbase for 500 ms response times at massive scale.

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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

Viber switched from MongoDB™ to Couchbase to meet the demands of over 1B mobile users, and reduced its server count from 300 to 120.

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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.

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Catalog and Inventory

Combine product and inventory data in real time and scale to millions of products and requests per second to present the right data at the right time.

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