With five corporate offices across three countries, Couchbase serves enterprises of all sizes, including Emirates Airline, Tommy Hilfiger, SyncThink, LinkedIn, and Marriott Hotels.īecause hyperfast responsiveness is integral to Couchbase’s value proposition, the company relies on edge computing to deliver its solution to customers. Its NoSQL database solutions combine the processing of key-value information in memory with the distributed storage of JSON document data without schemas. Now, the company can lower the barrier to entry for edge computing for its customers and enhance the performance of their applications.įounded in 2011, Couchbase’s mission is to empower enterprises to develop, deploy, and run mission-critical applications anywhere by delivering a high-performance, flexible, and scalable modern database. In a series of performance tests, Couchbase was able to reduce latency for its distributed database solutions by 80 percent using Local Zones. One of the factors that impacts latency is the physical distance between cloud infrastructure and applications, and Local Zones extend compute infrastructure to large metropolitan areas from AWS Regions. When AWS introduced AWS Local Zones, which place compute and storage closer to users, Couchbase saw the new deployment method as an excellent alternative for its customers to build applications using its distributed database solutions while reducing latency. Many of Couchbase’s customers already used Amazon Web Services (AWS) to build and manage applications in their portfolios. This model had physical limitations in addition to being cost prohibitive, time consuming, and operationally complex. Distributed databases require edge compute to optimize performance, so companies had to manage their own data centers, on premises or in a colocation, to access Couchbase’s distributed databases with low latency. Software company Couchbase serves enterprises across a wide variety of industries with its flexible distributed NoSQL database solutions, which its customers use to process big data, run their most important business applications, and achieve low latency.
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