Oracle → PostgreSQL · AWS SCT · DMS · Aurora

Oracle to PostgreSQL Migration
NZ & ANZ

Migration support for teams moving from Oracle to PostgreSQL or Aurora PostgreSQL and needing realistic assessment, AWS SCT/DMS planning, schema conversion risk review, validation, cutover sequencing, rollback planning and post-migration tuning.

Available immediately for contract & partner subcontracting · Auckland / Remote ANZ

Send the database problem →View case studies →

NZ-based senior specialistAuckland presence, ANZ remote delivery.

Oracle + PostgreSQL depthOCM background with AWS database focus.

Production-first deliveryAssessment, change control, rollback and runbooks.

Partner friendlyContracting, subcontracting and advisory support.

When to call me

Before commitment

You need to know the real migration risk

Oracle estates often look simple until PL/SQL, jobs, packages, performance-critical SQL, integrations and data validation are assessed properly.

Complexity assessment
Target-fit review
Business risk summary

During planning

SCT/DMS needs a practical delivery design

Tooling is only one part. The important work is migration waves, validation checkpoints, cutover windows, rollback and operational readiness.

AWS SCT/DMS strategy
Full-load + CDC planning
Cutover runbook

After cutover

PostgreSQL needs tuning, not only data movement

Many migrations technically move data but leave performance, vacuum, indexing, monitoring and runbooks unfinished.

Post-migration tuning
Index review
Operational handover

Migration areas I cover

Assessment

Oracle source understanding

RAC, Exadata, Data Guard, GoldenGate, jobs, PL/SQL, SQL complexity, data volume, integrations and operational dependencies.

OCM-level source depth
Compatibility risks
Prioritised migration waves

Execution

AWS migration mechanics

SCT conversion approach, DMS task posture, replication design, validation queries, downtime options and rollback readiness.

SCT/DMS planning
CDC strategy
Validation design

Optimisation

Target-state PostgreSQL readiness

Schema/index redesign, query rewrite, vacuum/analyze posture, parameters, monitoring, backup/restore and HA/DR expectations.

Aurora PostgreSQL fit
Performance baseline
Runbook handover

Typical deliverables

Readiness assessment

Application/database dependency map
Schema and PL/SQL complexity view
Data movement and validation plan
Cutover and rollback risk register

Delivery support

Migration wave plan
SCT/DMS strategy and task review
Cutover runbook
Stakeholder status and decision material

Post-migration hardening

Performance tuning checklist
Monitoring and alert recommendations
Vacuum/bloat/index review
Knowledge transfer for operations

Best-fit engagement

Start with a fixed-scope migration readiness assessment. If the risk profile is acceptable, continue into design, execution support, cutover rehearsal and post-migration optimisation.

Why assessment matters before migration

Oracle complexity is often hidden

PL/SQL packages, jobs, triggers, data types, reporting SQL, integration dependencies and operational habits can quietly drive the real migration effort.

PostgreSQL is not a like-for-like clone

A safer migration accepts that the target design may need different indexing, transaction patterns, maintenance posture, monitoring and performance validation.

Cutover is a business decision

The technical plan must support go/no-go checkpoints, rollback criteria, data validation, business sign-off and post-cutover support — not just a data movement task.