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Marriott

From legacy infrastructure to an open source, cloud-based NoSQL. See how Couchbase reduced application development costs, increased transaction speed, and modernized their infrastructure.

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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.

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LinkedIn

Within four years, Couchbase grew from a single proof of concept to the number one caching solution within LinkedIn.

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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.

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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.

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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.

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Gannett

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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McGraw Hill

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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Directv

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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