Document products
Store records whose structures vary deliberately.
aiqorxBackend & data / Non-relational databases (NoSQL)
Document and other non-relational stores support data models that differ from traditional relational tables.
Talk through your project
A connected engineering approach
People, tasks, accessibility
Components, logic, integrations
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Store records whose structures vary deliberately.
Design around a known partition and query strategy.
Choose a store suited to a specific workload.
02 / Architecture
Define consistency expectations, partition keys, indexes, and document growth limits. Treat schema evolution as a responsibility even without enforced tables.
Flexible structure can make joins and cross-record invariants harder. Match the store to the query model.
03 / Delivery & care
Test authorization, schema changes, concurrency, timeouts, and recovery. Inspect operational logs and rehearse restoring data and rolling back a release.
Review the users, existing systems, constraints, and definition of success.
Document the architecture, interfaces, risks, and delivery scope.
Review working increments against real use cases and failure conditions.
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Flexible structure can make joins and cross-record invariants harder. Match the store to the query model.
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's build