DMAP for Google Cloud – Trusted by Enterprises, Proven at Scale
Migrate mission-critical workloads to GCP in weeks, not months-backed by automation, AI-driven remediation, and rollback safety built into every step.
Newt Global’s DMAP
for Google Cloud Platform makes database migration simple, fast, and secure. By automating the move from Oracle, SQL Server, DB2, Informix, and PostgreSQL to GCP, DMAP reduces migration timelines by up to 60%, eliminates downtime, and ensures a seamless path to Cloud SQL and AlloyDB.
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Unified Heterogeneous-to-GCP Transformation
Newt Global’s flagship product DMAP™ couple with specialist services accept any enterprise RDBMS—Oracle (x86, AIX, Solaris, Exadata), SQL Server (on-prem or cloud), DB2, Informix and even managed PostgreSQL instances on AWS or Azure—and move them exclusively to Google Cloud:
| Source Platforms (examples) | Primary GCP Target | Why It Matters |
|---|---|---|
| Oracle (on-prem / Exadata / VMware) | Oracle@GCP managed service or GCP IaaS | Keep Oracle skills and licenses while shedding data-center costs. |
| Oracle & SQL Server (any cloud / on-prem) | Cloud SQL for PostgreSQL or AlloyDB | Escape punitive licensing; gain cloud-native elasticity and AI-ready performance. |
| SQL Server (anywhere) | Cloud SQL for SQL Server | Lift-and-shift first, refactor later—no code change required. |
| AWS/Azure managed PostgreSQL | AlloyDB / Cloud SQL + GKE | “Cloud take-out” lowers TCO, unifies ops, and unlocks Spanner-like scale on AlloyDB. |
| Any RDBMS / NoSQL modernization | GCP-native PG + Firestore / Bigtable | Future-proof data tier for microservices and event-driven use cases. |
DMAP Platform—Built for Google Cloud
Automated PL/SQL & T-SQL Analysis
Detect anti-patterns, dead code, and performance bottlenecks; generate remediation blueprints tuned for Cloud SQL and AlloyDB.
Deterministic Code Conversion
Translate PL/SQL, T-SQL, DB2 SQL-PL, and Informix SPL into optimized PostgreSQL or Java/Kotlin micro-services—ready for Cloud Run, GKE, or Cloud Functions.
Container-Native Execution
Every DMAP module (discovery, conversion, validation, data load) runs as a stateless container; Kubernetes/Docker Swarm auto-scales jobs for parallel object processing.
Gemini-DMAP Integration
Google Cloud’s Gemini models enrich assessments, suggest performance fixes, and auto-generate unit tests for converted code.
GCP-Focused Accelerators
| Accelerator | What It Does | Typical Time-Savings |
|---|---|---|
| Oracle → Oracle@GCP | Generates Zero-Downtime Migration (ZDM) scripts and Landing Zone Terraform modules | 40% |
| Oracle/SQL Server → PG (Cloud SQL / AlloyDB) | Converts ~80 % of DDL & PL/SQL/T-SQL on first pass; auto-fixes datatypes, sequences, partitions | 60% |
| DMAP App Remediation module | Scans Java, .NET, C++ for embedded SQL; rewrites queries, adds PgBouncer pooling, emits CI/CD patches | 50% |
| Cloud Take-Out for Managed PG | Exports RDS/Aurora or Azure PG, re-hydrates into AlloyDB with minimal downtime, rewrites vendor extensions | 45% |
Migration Process
(for a medium complex app, the 12 month to 12 weeks mantra)
CMC Road-Map
(1–2 weeks)
One-click container scans capture DB LOC, object counts, AWR traces, and app SQL, infra security, devops and cutover criteria. DMAP ranks complexity and maps objects to GCP targets.
Schema Conversion & Validation
(2 Weeks)
Auto-generate PostgreSQL DDL with dependency ordering; DMAP’s validation engine checks keys, indexes, triggers, permissions.
Code Transformation
(4 weeks)
- PL/SQL/T-SQL → PL/pgSQL or Java micro-services (Spring Boot 3, JPA/Hibernate).
- Pattern library injects AlloyDB column-store indexes, parallel query hints, and Cloud Spanner API stubs (if future split-write is planned).
Data Migration
(1 week)
Bulk-load via Parallel Copy Jobs + Datastream-based CDC for sub-minute lag; cut-over window often < 30 minutes.
Testing & Cutover
(3 weeks + 1 Week post cutover support)
Row-level reconciliation, Playback and Cutover planning-execution
Technical Competence & Differentiators
| Source | GCP Target | Competence | Key Differentiator |
|---|---|---|---|
| Oracle (all flavors) | Oracle@GCP / Cloud SQL PG / AlloyDB | High | DMAP refactors PL/SQL, pulls logic to micro-services; preserves performance plans with AlloyDB vectorized execution. |
| Cloud SQL (SQL Server / PG) | Oracle@GCP managed service or GCP IaaS | High | End-to-end DMAP automation + pre-built BACPAC = Bucket workflows; downtime in minutes. |
| DB2, Informix, Legacy RDBMS | AlloyDB / BigQuery / NoSQL | High | Cloud take-out scripts, schema diff, and continuous sync until switchover. |
| SQL Server (anywhere) | Cloud SQL for SQL Server | High | Cross-model conversion engine (tables→documents, CLOB→Cloud Storage) + consistency-tuned pipelines. |
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Customer Benefits
Up to 60% Faster Go-Live on GCP
Containerized automation & Gemini insights compress 12-month projects to 12 weeks.
Cost & License Relief
Retire on-prem hardware and proprietary DB fees; leverage Committed Use Discounts.
Business Continuity
CDC keeps source systems running; rollback plans baked into Terraform state.
Cloud-Native Modernization
Micro-services, server-less options, and managed databases ready for AI/ML add-ons.
Risk Mitigation
Automated testing, IAM hardening, and Cloud Armor policies generated from DMAP templates.
Proven at Scale
Financial-grade OLTP, global payroll, and pharma GxP workloads already live on AlloyDB & Oracle@GCP.
How We Engage
1. Discovery Call
2. Rapid Assessment (Free)
3. Pilot Migration
4. Full-Scale Execution
5. Cut-Over & Hypercare
About Newt Global
We design and execute large-scale Oracle modernization programs using DMAP, Oracle native tools, and AI driven accelerators.