Cloud Modernization  ·  GCP Migration  ·  AI-Powered Tools

How Newt Global’s Database Modernization Acceleration Platform automates the journey from legacy Oracle to Cloud SQL and AlloyDB on Google Cloud — faster, safer, and at enterprise scale.

The Oracle problem and the GCP opportunity

Legacy Oracle databases are deeply embedded in enterprise IT landscapes worldwide. They are reliable — but expensive, inflexible, and increasingly incompatible with the agile economics of modern cloud platforms. In 2026, the question for most enterprises is no longer whether to leave Oracle, but how fast they can execute that exit without disrupting business continuity.

Google Cloud Platform’s Cloud SQL for PostgreSQL and AlloyDB have emerged as the de facto destination for organisations seeking a future-proof, open-source foundation. GCP brings a global network, cutting-edge infrastructure, and deep AI/ML capabilities. What has historically held enterprises back is the migration journey itself — until now.

Enter DMAP AI from Newt Global — the Database Modernization Acceleration Platform built to automate every stage of Oracle-to-PostgreSQL migration on GCP, eliminating the manual effort, risk, and cost that have made these projects notorious.

What is DMAP AI?

DMAP — the Database Modernization Acceleration Platform — is Newt Global’s flagship AI-powered migration engine. It automates the complete end-to-end migration of Oracle (and other legacy RDBMS including SQL Server, DB2, and Informix) to PostgreSQL on Google Cloud, covering every layer: schemas, stored procedures, PL/SQL packages, triggers, SQL queries, custom constructs, and the application code that wraps them.

DMAP is deployed as Docker containers that run directly in your GCP VPC — your data never leaves your environment. It is certified and validated on Google Cloud SQL for PostgreSQL and AlloyDB, and Newt Global maintains a formal GCP partnership supported by GCP-certified professionals who accompany every migration engagement.

Core capabilities on GCP

Migration architecture: Oracle to GCP Cloud SQL / AlloyDB

SOURCE (Oracle 11g / 12c / 19c · SQL Server · DB2 · Informix)
  ├── Tables, indexes, sequences, materialized views
  ├── PL/SQL packages, procedures, triggers, Oracle RAC
  └── On-prem / co-lo / existing GCP VM
          │
          ▼  Traffic capture · Schema extract · Code conversion
┌──────────────────────────────────────────────────────┐
│            DMAP AI ORCHESTRATION LAYER               │
│  · Schema & PL/SQL conversion                        │
│  · Oracle → PL/pgSQL refactoring                     │
│  · Dependency mapping & risk scoring                 │
│  · @Scale parallel container execution               │
│  · CDC warm standby via Google Cloud DMS             │
│  · Row-count & checksum validation                   │
│  · App remediation (Java / Angular / C#)             │
└──────────────────────────────────────────────────────┘
          │
          ▼
TARGET (Google Cloud Platform)
  ├── Cloud SQL for PostgreSQL 16+
  ├── AlloyDB (financial-grade OLTP & AI/ML workloads)
  └── GCP-certified Newt Global delivery team

PL/SQL to PL/pgSQL: the hardest part, automated

Package-level business logic in Oracle PL/SQL is the single biggest driver of cost overruns in legacy migrations. DMAP AI handles it at scale — automatically refactoring Oracle proprietary constructs to modern PostgreSQL syntax:

/* Oracle PL/SQL — source */
CREATE OR REPLACE PACKAGE BODY emp_mgmt AS
  PROCEDURE hire_emp(name VARCHAR2) IS
  BEGIN
    INSERT INTO employees
      VALUES (emp_seq.NEXTVAL, name, SYSDATE);
  END;
END emp_mgmt;

/* PostgreSQL PL/pgSQL — target, auto-generated by DMAP AI */
CREATE OR REPLACE FUNCTION emp_mgmt.hire_emp(p_name TEXT)
RETURNS VOID AS $$
BEGIN
  INSERT INTO employees (id, name, hire_date)
    VALUES (nextval('emp_seq'), p_name, CURRENT_TIMESTAMP);
END;
$$ LANGUAGE plpgsql;

For enterprise codebases with thousands of packages and nested dependencies, DMAP achieves a 90% automation rate for standard database objects — turning years of manual effort into weeks of automated execution.

Case study: Hughes Network Systems — 4.6 million lines of code migrated in 12 weeks

Why GCP + DMAP is a compelling combination

Google Cloud’s infrastructure is uniquely suited to data-intensive migrations. AlloyDB is purpose-built for financial-grade OLTP, global payroll systems, and pharma GxP workloads — as the Hughes engagement demonstrates: a Fortune 500 company running a mission-critical commercial platform chose AlloyDB for its performance characteristics and GCP-native AI/ML readiness.

DMAP’s container-based architecture means it runs entirely within your GCP VPC — no data leaves your environment. The Cloud Migration Cockpit™ (CMC™), showcased at the Google Cloud Summit Benelux 2025, provides end-to-end programme visibility: no black boxes, no guesswork — a proven playbook executed by GCP-certified engineers.

“The combination of DMAP and GCP offers the perfect solution — a comprehensive, automated migration experience that minimises risks, reduces costs, and accelerates time-to-value.”

— Newt Global GCP Migration Team

AI benefits beyond migration day

DMAP AI’s value compounds after go-live. Its continuous optimisation capabilities include:

• Predictive cost analytics across GCP resource configurations
• Machine learning–based workload prioritisation for multi-system programmes
• Real-time compliance monitoring during data transfer (GDPR, HIPAA, GxP)
• Self-healing capabilities that automatically detect and resolve migration anomalies
• Ongoing query plan analysis, index strategy recommendations, and memory parameter tuning for Cloud SQL and AlloyDB

As a multi-cloud platform, DMAP also delivers seamless interoperability across GCP, Azure, and AWS — giving enterprises the flexibility to operate across hyperscalers without locking migration tooling to a single vendor.

Getting started with DMAP AI on GCP

DMAP deploys as Docker containers directly into your GCP VPC. Within 48 hours you receive a comprehensive migration sizing report — schema complexity, PL/SQL volume, dependency maps, and risk-scored project estimates. Newt Global’s GCP-certified team then moves into a proof-of-concept phase, converting a representative schema and application module to Cloud SQL or AlloyDB before full-scale parallel migration begins.