01
Single-table design
Storing multiple entity types in a single table to fetch parent and children in a single round-trip.
Technologies — Databases & storage
AWS DynamoDB single-table design & scaling
We design DynamoDB tables around your access patterns, using single-table design to keep reads predictable at single-digit-millisecond latency.
Core capabilities
Why we build with DynamoDB
02
Predictable latency
Performance that does not degrade as the table grows, because every access is a key lookup or range query, with no query planner to surprise you.
03
DynamoDB Streams & event-driven workflows
Capturing item changes to trigger Lambda workers and cross-region replication.
Use cases
Where DynamoDB fits
High-volume mobile user profiles
Session and preference lookups for large mobile user bases.
Shopping carts under flash-sale load
High-concurrency carts using conditional writes instead of locks.
How we staff it
DynamoDB engineers you interview first
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
Frequently asked engineering questions
It is a design methodology where all application entities share one table, using composite keys (PK/SK) to fetch complex relational data in one query.
Because DynamoDB is schemaless, changes are managed via application-level versioning and parallel dual-writing.
Ecosystem
Related technologies
Planning a DynamoDB project?
Tell us about your architecture, backlog and team. We'll reply within one business day with an honest read on whether we can help.