Product and content catalogues
We can model products and content with different attributes as documents, designing updates and queries alongside the application.
We design applications using product, customer and operational data with the JSON document model and SQL++ queries.
Tell us what you needWe assess potential uses for Couchbase against your work and existing systems.
We can model products and content with different attributes as documents, designing updates and queries alongside the application.
For applications using profiles and preferences, we define the data model, access needs and update flows.
We assess key-value access and SQL++ queries for the need. Index choice and query behavior depend on the data and workload.
We define the scope around your needs, existing systems and team priorities.
We design document structures, key-value access, SQL++ queries and indexes around existing data and business rules. We assess Search Service and vector search for the version and deployment.
Explore AI-assisted development with AI LABSWe connect applications to Couchbase through appropriate clients and services. Where needed, we plan data migration, offline work with Couchbase Lite and server synchronization.
Explore software development with Reformo (opens in a new tab)We evaluate queries, concurrent updates and, where relevant, synchronization conflicts against representative workloads. Backup, access and monitoring needs are defined within the project scope.
Explore training and mentoring with HGM Labs (opens in a new tab)These examples illustrate what could be built for different needs.
Explore 16 use cases
Query Service and suitable indexes need to be configured in the deployment.
A catalogue application can store products with different fields as documents. Queries and indexes can be designed for the filters customers need.
An application can use customer preferences and profile information, with update and access rules defined for the relevant workflow.
These scenarios illustrate potential applications. We assess the requirements of the chosen version and deployment together at the start of a project.
Document structure, key-value access and SQL++ queries are designed around the application’s data model and indexes.
Full-text search uses Search Service. In Couchbase Server 7.6 it supports vector search; version 8.0 adds vector indexes for Query Service. Platform, deployment and license requirements must also be checked.
These examples require Couchbase Lite on the device and Sync Gateway or Capella App Services for server synchronization. Supported platforms, versions, licenses and conflict rules must be assessed.
Updates, consistency and service features are tested against the workflow, chosen version and deployment.
Product documentation: Couchbase vector search documentation (opens in a new tab) · Couchbase Mobile documentation (opens in a new tab)