Database Modernization for Legacy Systems Holding You Back

We modernize outdated database platforms and schemas — moving off unsupported versions and legacy engines onto modern, maintainable, better-performing systems.

Your Application Modernized, But Your Database Still Stuck in 2010

Applications get modernized, but databases often get left behind — running unsupported versions, outdated engines, or schemas designed for requirements that no longer apply. We modernize the database layer with the same rigor as any application modernization project.

Why Choose NIMU for Database Modernization

Legacy Database Audit

Assessing your current database platform, version, and schema for modernization needs.

Version & Engine Upgrades

Moving to supported versions or better-suited database engines.

Schema Modernization

Redesigning outdated schemas to match current application needs.

Zero Data Loss

Rigorous validation to ensure every record transfers accurately.

Minimal Downtime

Phased modernization strategies that keep systems live throughout.

Performance Gains

Modernized databases typically outperform their legacy predecessors substantially.

What We Deliver

A comprehensive suite of capabilities packaged into every engagement.

1

Database Version Upgrades

Upgrading unsupported database versions to current, secure releases.

2

Database Engine Migration

Moving between database engines when the current one no longer fits your needs.

3

Schema Modernization

Redesigning legacy schemas to match current application requirements.

4

Data Validation & Cutover

Validated migration with a controlled, low-risk cutover to production.

Our Delivery Process

A proven, transparent process that keeps your project on time and on budget.

1

Legacy Database Audit

Assessing your current platform, version, and schema for risk and modernization options.

2

Modernization Plan

Choosing the target platform and migration strategy.

3

Migration & Validation

Executing the migration with continuous data validation.

4

Cutover & Optimization

Controlled cutover followed by performance tuning on the new platform.

Frequently Asked Questions

Everything you need to know before getting started.

Signs include running unsupported versions, slow performance despite tuning attempts, or a schema that no longer matches how your application actually uses data — we can assess this for you.
We plan phased modernization with replication-based approaches to minimise downtime, with a brief, well-tested cutover window.
Yes, database modernization often includes redesigning outdated schema alongside the platform or version upgrade.
Modernization typically includes schema and design improvements alongside the platform move, not just a like-for-like data transfer.
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