Yugantix / Technologies / MongoDB
Database engineering

MongoDB, where schema design still matters.

Document modeling around real query patterns — “schema-less” doesn't mean design-free, and most MongoDB performance problems trace back to skipping this step.

SELECT * FROM recent_activity LIMIT 3 3 rows
identitystatus
65f1a2 orders ok
65f1a3 orders ok
65f1a4 users ok
01Why MongoDB

Why teams choose MongoDB — and when we agree.

Document design driven by query patterns

Embedding versus referencing decided based on how data is actually read and written, not by default

Right fit for the right workload

Genuinely strong for flexible, document-shaped data — we'll say when a relational database actually fits your data better.

Indexing taken as seriously as in any database

MongoDB's flexibility doesn't mean indexing is optional — we treat it as a first-class design decision.

Aggregation pipelines built for real volume

Complex queries designed to perform at production data scale, not just in a small test collection.

02What we build

MongoDB work we actually ship.

Document schema design

Data models built around your actual access patterns — the most consequential MongoDB decision, made deliberately.

Aggregation pipeline development

Complex reporting and analytics queries built to perform at scale.

Replica set & sharding setup

High-availability and horizontal scaling configuration for production workloads.

Migration from relational databases

Moving suitable workloads from SQL databases where the document model genuinely fits better.

MongoDB 7 Mongoose Atlas Aggregation Framework Change Streams
03Good questions

What clients ask before hiring us for MongoDB.

If your data is naturally document-shaped and your access patterns favor flexibility over complex joins, yes. If you need strong relational integrity and complex multi-table transactions, we'd likely recommend a relational database instead.

Often the index doesn't actually match the query's filter and sort pattern — we review actual query shapes against the existing indexes rather than assuming more indexes is always the fix.

Engage

Got a MongoDB 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.