Google Cloud Partner

Oracle to Google Cloud Migration

Move off Oracle Database to fully managed Google Cloud, Cloud SQL for PostgreSQL or Spanner. This is the most involved database migration, and we plan it honestly: schema conversion, PL/SQL rework, validated data migration and a phased cutover.

Oracle to Google Cloud migration
Quick answer

Yes, you can migrate Oracle Database to Google Cloud, but it is the hardest database path, and we say so plainly. Codimite, a Google Cloud Partner, migrates Oracle to Cloud SQL for PostgreSQL (the closest relational fit) or to Spanner (for global, strongly-consistent scale). Because the engines differ, the work centres on schema conversion and PL/SQL rework, not a lift-and-shift. We assess your Oracle estate, recommend the right target, and migrate data with full validation and a tested cutover.

Why migrate

Why teams move off Oracle to Google Cloud

Escape licensing and audits

Removing Oracle licensing, support and audit overhead is the single biggest driver.

Fully managed and autoscaling

Cloud SQL and Spanner remove patching, HA setup and capacity planning that Oracle DBAs spend their time on.

Spanner global consistency

For workloads that have outgrown a single instance, Spanner offers horizontal scale with strong, global consistency, something Oracle cannot match without heavy RAC/Data Guard engineering.

Open and integrated

Cloud SQL for PostgreSQL is open-source compatible and integrates with BigQuery, GKE and IAM, reducing lock-in.

Price-performance

Right-sized, committed-use pricing typically beats an equivalent Oracle footprint once licensing is removed.

What we migrate

What we migrate from Oracle

Oracle object Migrates to (Cloud SQL / Spanner) Notes, honest complexity
Schema (tables, indexes, constraints, sequences) PostgreSQL / Spanner schema Converted, not copied; data types, sequences and partitioning re-mapped
Data (rows / large tables) Data via DMS / Datastream Initial load plus change replication where supported
PL/SQL packages, procedures, functions, triggers PL/pgSQL or application-layer logic Largest effort. Rewritten and re-tested; some logic moves into the app for Spanner
Views & materialized views Views / scheduled refresh SQL dialect differences resolved during conversion
Connections & clients Cloud SQL / Spanner endpoints Drivers and connection strings updated; Oracle-specific client features replaced
Users, roles & grants Database users & Cloud IAM Privilege model re-mapped to the target's roles and IAM

Oracle-specific features, RAC, Data Guard, advanced partitioning, AQ, Oracle-only built-ins, have no direct equivalent and are re-architected. We identify every one of these in assessment so there are no surprises.

Our process

Our Oracle to Google Cloud migration process

  1. 1

    Assess

    We inventory schema, PL/SQL volume, Oracle-specific features and application dependencies, then recommend Cloud SQL for PostgreSQL or Spanner with an honest effort estimate.

  2. 2

    Convert schema

    Schema, data types and constraints are converted to the target; PL/SQL is rewritten to PL/pgSQL or relocated to the application layer.

  3. 3

    Migrate via DMS

    Database Migration Service / Datastream perform the initial data load and, where supported, ongoing replication to minimize the cutover window.

  4. 4

    Validate

    Row counts, checksums and full application test suites confirm data and converted logic behave identically to Oracle.

  5. 5

    Cutover

    A phased, scheduled switch repoints applications to the target with a tested rollback plan.

  6. 6

    Hypercare

    Performance tuning, query optimization and support through stabilization.

Why Codimite

Why Codimite for your Oracle migration

A Google Cloud Partner with 85+ Google Certified Specialists across data and cloud: we treat schema conversion and PL/SQL rework as the real project, flag every Oracle-specific feature before you commit, and prove correctness after conversion.

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  • Google Cloud Partner. With 85+ Google Certified Specialists across data and cloud.

  • Heterogeneous-migration discipline. We treat schema conversion and PL/SQL rework as the real project, not an afterthought, and estimate them explicitly.

  • Honest scoping. Every Oracle-specific feature is flagged before you commit, so timelines and budgets hold.

  • Data-integrity verification. Checksum and test-suite reconciliation proves correctness post-conversion.

FAQs

Oracle to Google Cloud migration FAQ

Can you migrate Oracle to Google Cloud?

Yes, to Cloud SQL for PostgreSQL or to Spanner. It is the most involved database path because schema conversion and PL/SQL rework are mandatory, we scope both honestly up front.

Spanner or Cloud SQL?

Cloud SQL for PostgreSQL is the closest relational fit and lower effort for most workloads. Spanner suits apps needing global, strongly-consistent horizontal scale, with larger rework.

What about PL/SQL?

PL/SQL does not move as-is. We rewrite it to PL/pgSQL or relocate logic to the application layer, then re-test. This is the largest part of the migration.

How long does it take?

Weeks for a contained application; several months for a large estate with heavy PL/SQL. The volume of PL/SQL and Oracle-specific features is the main driver.

What does it cost?

Pricing is scoped to schema size, PL/SQL volume and feature complexity. Start with a free assessment for a fixed quote.

Ready to move off Oracle?

Codimite, a Google Cloud Partner, migrates Oracle Database to Cloud SQL for PostgreSQL or Spanner with honest schema-conversion and PL/SQL-rework planning, validated data migration and a phased cutover. Start with a free quote.

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