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POS product CenterEdge provides services for over 500 global customers in the entertainment industry. Learn how.

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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.

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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.

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See how DIRECTV, one of the world’s leading providers of digital television entertainment services, runs Couchbase with N1QL and Node.js to support 38 million customers globally on 3,000 channels.

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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.

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See how Gannett, one of America’s largest media companies, deployed Couchbase to support their systems accessed by 96 million visitors per month.

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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.

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See how McGraw Hill Education leverages Couchbase and Elasticsearch in order 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.

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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.

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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.

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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.

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See how Nielsen turned to Couchbase to sidestep many of the limitations of Oracle and gained a 50% boost in response time.

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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.

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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.

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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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As part of their transformation, Sky embraced the use of distributed databases to cope with growing demand and spiky traffic patterns.

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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.

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Viber switched to Couchbase from MongoDB/Redis deployment, halving the number of server and increasing throughput to support skyrocketing demand.

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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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