Data modelling: manual secondary indexes

Couchbase Server is often described as a document database due to its effective handling of JSON documents, but when modeling data for Couchbase, considering it as a key-value store can be beneficial. The distinction between key-value and document stores primarily lies in data querying; key-value stores offer simplicity with a single index, ensuring fast, consistent access, whereas document stores provide multiple indexes for flexible querying at the cost of increased resource use. Couchbase supports both methods, allowing users to decide based on their needs. To manage user profiles effectively, especially when users change their email addresses, Couchbase can utilize atomic counters to create unique, stable keys and manual secondary indexes to maintain flexibility and speed. This approach allows for efficient data retrieval without significant performance drawbacks, although it requires additional application layer work. The potential for implementing various manual indexes, such as for Twitter handles or phone numbers, further enhances Couchbase's capability, demonstrating its adaptability in balancing speed, flexibility, and scalability.

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