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Amadeus Powering Travel Industry - Couchbase Industrial IoT Case Study
Amadeus Powering Travel Industry
Amadeus is a Global Distribution System (GDS), meaning they take travel and tourism data from airlines, car companies, hotel chains, cruise lines, etc., and distribute it to travel agencies, corporations, travel websites, airports, and other distributors. As the world's leading GDS, Amadeus must manage a huge workload daily, with absolutely no room for service outages, supporting:- 3.7 million bookings per day- 1.6 billion transactions per day- 45 billion database accesses per day- 13 petabytes of storage- Response time of less than 0.5 milliseconds- Thousands of developers pushing new features (100+ changes per day)
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Concur's Journey to One Billion Couchbase Operations Per Day - Couchbase Industrial IoT Case Study
Concur's Journey to One Billion Couchbase Operations Per Day
Concur is a leading provider of integrated travel and expense management solutions for companies of all sizes. As a leading SaaS provider, Concur constantly seeks to improve scalability and performance across their architecture and infrastructure stack especially the database and storage tiers.Initially, Concur utilized a homegrown caching system that turned out to be expensive and complicated to scale. They wanted to replace it with an open source solution that could help laterally scale their application, and provide the resilience and redundancy they needed with simplicity and efficiency. They also wanted the new solution to support their aggressive plans for using NoSQL technology extensively throughout their stack in the future.
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GE Digital's Innovative IoT Solution for Industrial Applications with Couchbase - Couchbase Industrial IoT Case Study
GE Digital's Innovative IoT Solution for Industrial Applications with Couchbase
GE Digital's software team developed an innovative solution, the Predix cloud-based platform, to address the challenges posed by the vast amounts of data generated by state-of-the-art machines. Predix allows organizations to build tailored mobile apps that help field personnel collect and analyze data from intelligent machines. However, the initial release of Predix required a data platform that could provide strong stability without relying on internet connectivity. This posed a significant challenge as field workers needed to monitor, maintain, and troubleshoot equipment even in remote locations with limited or no network connectivity.
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