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You are here: Home / Videos / How to Build a Multi-Model Data Platform with Couchbase Capella DBaaS

How to Build a Multi-Model Data Platform with Couchbase Capella DBaaS



Cloud Field Day 17



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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Capella is a fully managed JSON document and key-value database with SQL access and built- in full-text search, eventing and analytics. It easily supports a broad range of modern application use cases with multi-model and mobile synchronization capabilities and allows customers to use the programming language of their choice. Capella’s memory-first architecture drives blazingly fast millisecond data responses at scale, resulting in best-in-class price performance of any fully managed document database. In this demo, Tom will show how fast and easy it is to spin up a multi-model data platform with Couchbase’s DBaaS, Capella.

Tom McSpiritt discusses the Couchbase Capella demo. He explains that Couchbase is a multi-model data platform offering different data access patterns through SDKs for building applications. Tom demonstrates various features of Capella, including a sample configuration, document access, index definitions, and full-text search. He also explains that Couchbase allows deployment across different cloud providers and supports regions for flexibility. Tom discusses the control plane and data plane in Couchbase, mentioning that while the control plane is hosted by Couchbase, the data plane can be deployed in the customer’s own VPC with the ability to connect through VPC peering, private links, or public endpoints. He emphasizes that each customer gets their own isolated tenancy for data storage. Tom further explores monitoring tools, SQL queries, indexes, and access settings in Capella. He addresses questions about common connect strings, IP access control, IAM authentication, and automation capabilities. Finally, Tom demonstrates the Couchbase SDKs, showing a Python example of a key-value retrieval.

Personnel: Tom McSpiritt


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