Yugantix / Technologies / DynamoDB
Database engineering

DynamoDB, designed backwards from your access patterns.

Single-digit-millisecond latency at massive scale — achieved only by modeling data around exactly how it'll be queried, decided before a single table gets created.

SELECT * FROM recent_activity LIMIT 3 3 rows
identitystatus
PK#101 ORDER#5021 200 OK
PK#102 ORDER#5022 200 OK
PK#103 USER#88 200 OK
01Why DynamoDB

Why teams choose DynamoDB — and when we agree.

Access-pattern-first modeling

Every table designed backwards from the actual queries it needs to serve — the single most important DynamoDB design decision.

Single-table design where it earns its place

A genuinely powerful pattern for complex applications, applied deliberately rather than as a default dogma.

Honest about where it doesn't fit

Complex ad-hoc queries and relational joins are not DynamoDB's strength — we'll say so before you commit to it for the wrong workload.

Capacity & cost modeling done upfront

On-demand versus provisioned capacity decided based on your actual traffic shape, not guessed at.

02What we build

DynamoDB work we actually ship.

Data modeling & table design

Access-pattern-driven schema design — the foundation everything else depends on.

Single-table design implementation

Complex applications modeled efficiently within DynamoDB's constraints.

Migration from relational databases

Careful re-modeling for workloads that genuinely benefit from DynamoDB's scale characteristics.

Global tables & DAX caching

Multi-region replication and caching for latency-sensitive global applications.

DynamoDB AWS SDK DynamoDB Streams DAX Single-table design
03Good questions

What clients ask before hiring us for DynamoDB.

If you have well-known, predictable access patterns and need massive scale with low latency, yes. If your application needs flexible ad-hoc queries or complex joins, a relational database will serve you better — we'll tell you which camp you're in.

Modeling tables like a relational database and only discovering the access-pattern problem at scale. We solve that by designing backwards from queries before any table exists.

Engage

Got a DynamoDB project in mind?

A 30-minute call with a principal engineer — no salespeople, no slide decks. You will leave with a written perspective on your plan whether we end up working together or not.