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Oracle to PostgreSQL: from dependency analysis to production cutover.

I work on the parts that go beyond schema conversion: PL/SQL and packages, Oracle-specific features, PostgreSQL/Aurora target architecture, Flyway deployment, data movement, testing and production transition.

01

Assessment: identify the real migration hotspots

Inventory packages, procedures, functions, triggers, dynamic SQL, database links, Scheduler jobs, grants and other Oracle dependencies, then prioritise them by migration impact.

Discuss an assessment
02

PoC: migrate the hard part for real

Implement a representative business flow on PostgreSQL or Aurora and validate code, data model, extensions, performance, deployment and application behaviour.

Discuss a PoC
03

Migration: deliver through production cutover

Implement schema and code changes, Flyway, data movement, test cycles, migration waves, cutover, rollback and stabilisation.

Discuss delivery
Concrete work packages

What I actually work on in a migration.

Code & database

Remove Oracle-specific coupling

  • PL/SQL packages, procedures, functions and triggers
  • Dynamic SQL and Oracle-specific features
  • Database links, Scheduler jobs, synonyms and materialized views
  • Schema, role and privilege design on PostgreSQL
  • Flyway-based database deployment
Target & operations

Make the target production-ready

  • PostgreSQL or Aurora PostgreSQL target architecture
  • Extensions and managed-service constraints
  • Data migration, reconciliation and regression testing
  • Performance with representative workloads
  • Cutover, rollback, restart and stabilisation
Where effort really comes from

Not every Oracle dependency should be rebuilt one-for-one.

A

What should remain in the database?

Not every package belongs in a PostgreSQL function. First decide which logic should remain database logic and which belongs in the application or a service.

Package migration
B

What kind of coupling is this?

A database link, Scheduler job or UTL_FILE call should be understood by business purpose before choosing the PostgreSQL/AWS replacement pattern.

Database links
C

How does this become a production change?

Deployment, reconciliation, performance, restart and rollback need evidence before the cutover date—not after it.

Migration roadmap
Initial discussion

Four facts are enough to start.

Oracle version, relevant schemas or approximate scale, rough PL/SQL footprint, and the intended target—PostgreSQL, Aurora PostgreSQL or perhaps RDS for Oracle as an intermediate step.

Do you need database access immediately?

No. Architecture and scale are enough for the first discussion. Whether metadata, source code or limited analysis access is useful later depends on the engagement.

How can migration effort be estimated credibly?

Not from table counts alone. PL/SQL complexity, Oracle-specific features, application dependencies, data volume, testability and operational requirements are more informative. Uncertain assumptions should be tested in the PoC.

Do you also implement the migration?

Yes. Scope can range from assessment and PoC to code changes, Flyway, data migration, testing, cutover and stabilisation.

Next step

What is the right starting point for your system?

Send the key facts. We can then determine whether the next step is dependency analysis, a focused proof of concept or an implementation-ready migration unit.

Oracle → PostgreSQL / AWS
Discuss your migration
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