Some applications have outgrown their relational schema

Relational schema changes often pull in DBAs, developers, and a release window. Across a large portfolio, AI initiatives tend to wait their turn. IQZ Systems partners with MongoDB to shorten that wait by moving core applications onto Atlas.

65,200+

Customers in more than 100 countries

130+

Atlas regions on AWS, Google Cloud, and Microsoft Azure

700M+

Community Server downloads since 2009

3M+

MongoDB University registrations, a sign of a broad talent pool

65,200+

Customers in more than 100 countries

130+

Atlas regions on AWS, Google Cloud, and Microsoft Azure

700M+

Community Server downloads since 2009

3M+

MongoDB University registrations, a sign of a broad talent pool

Faster releases are often where payback starts

MongoDB Atlas gives organizations a fully managed, multi-cloud data platform built around the way modern applications actually work. Records are stored as flexible documents shaped like the objects your developers already code against, so teams build and iterate faster without forcing data into rigid tables.

With search, vector search, stream processing, and automated scaling, security, and backups built in across AWS, Azure, and Google Cloud, Atlas provides a single foundation for operational applications, real-time analytics, and AI.

Combined with IQZ’s deep implementation expertise, we handle the work that makes Atlas deliver – from schema design and data migration off legacy systems to building the AI layer that sits on top – so your teams can ship modern applications sooner, reduce infrastructure overhead, and put retrieval-ready data behind every AI initiative.

Reduce reliance on legacy database licensing

Ship schema changes with the features that need them

Ground AI answers in up-to-date business data

Keep regulated fields encrypted, even during queries

Resources & Guides

Weighing a move off relational? This guide covers the decisions that drive cost, risk, and timeline.

PDF

RDBMS to MongoDB Migration Guide

MongoDB explains schema design, data movement, and application changes for teams leaving relational systems.

Three Areas Clients Engage Us For

Migration to MongoDB Atlas

Moving off relational and legacy databases onto MongoDB Atlas, with data modeled for documents from day one, so applications run faster long after cutover.

Application Modernization

Splitting monolithic applications into services on MongoDB’s flexible data model, so teams ship new features without waiting on schema changes or database rework.

Performance and Data Modeling

Reviewing schemas, indexes, and query patterns on existing MongoDB deployments, so slow queries get fixed and cloud spend stays predictable as usage grows.

Transactions, search, and vectors in a single platform

Atlas stores records as documents shaped like the objects your developers already code against. We handle schema design, data migration, and the AI layer that sits on top.