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Cars.com

Learn how Cars.com is accelerating product development with NoSQL.

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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.

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Amadeus

The largest travel booking engine manages its high look-to-book ratio with Couchbase Server. Read how Amadeus manages 8M+ queries/second and 20B+ documents using NoSQL.

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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.

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BD

As a leading medical technology company, BD strives to innovate delivery of health care. Learn how Couchbase Mobile helps them on their journey.

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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.

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Super Evil Megacorp

Couchbase helps this top tier mobile gaming scales with ease

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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.

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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.

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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.

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Viber

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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Seenit

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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Cars.com

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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Cisco

Couchbase's cluster management capabilities give Concur the ability to scale out their cluster with zero downtime.

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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.

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