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This video is part of the appearance, “Couchbase Presents at Cloud Field Day 17“. It was recorded as part of Cloud Field Day 17 at 10:30-12:00 on June 1, 2023.
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Couchbase has reimagined the database with its fast, flexible and affordable cloud database platform Capella, allowing organizations to quickly and cost-effectively build the applications of the future and deliver premium experiences to their customers. Capella uniquely has built-in application services so developers can easily build always on and always reliable apps. With big trends like cloud, AI, edge and digital transformation all colliding, what does the future of applications look like? And how will the database have to evolve to meet the demands of next-gen apps?
In this conversation, Ravi Mayuram, the CTO of Couchbase, discusses the evolution of Couchbase from a simple key-value cache to a distributed database capable of handling transactions seamlessly. He emphasizes the need to modernize databases and consolidate multiple layers of technology to avoid data sprawl and other related issues. Couchbase’s key capability is its support for flexible JSON data without the need to define a schema upfront. It can function as a cache, key-value store, or a full-fledged SQL database with the ability to perform full-text searches on JSON. The architecture allows for multi-dimensional scaling, analytics, eventing, and distributed replication across geographies, enabling operational, analytical, and translytical use cases. Ravi also mentions the visibility and performance insights available through the administration console and REST APIs. He highlights the platform’s versatility, supporting hybrid cloud deployments and offering the same features and capabilities in both self-hosted and Capella environments. The conversation further touches upon the challenges enterprises face in managing data sources, the importance of data strategy aligning with business goals, and the data mesh concept of organizing data domains. Couchbase and Capella play a crucial role in facilitating data consolidation and serving as systems of truth in the data mesh architecture.
Personnel: Ravi Mayuram