Enterprises around the world are rethinking their data strategy. Oracle remains foundational for many mission-critical applications, but licensing pressure, modernization priorities, and the need for faster innovation are driving customers to standardize on open-source databases. PostgreSQL continues to rise as a leading alternative: cloud-ready, enterprise-grade, and well suited for large, latency-sensitive workloads.
For partners, this shift represents one of the biggest modernization opportunities in the market. Customers are actively seeking migration expertise, repeatable methodologies, and end-to-end modernization services that reduce risk and accelerate time to value. They want an approach that is engineered, governed, and predictable.
Microsoft has been making significant investments in predictability. Over the last year, we’ve made substantial engineering improvements to Oracle-to-PostgreSQL migration tooling and guidance, including AI-assisted conversion and validation workflows designed to standardize more of the heavy lifting for partners.
At the same time, customers are raising the bar on what “modern data” means. It is not only about moving to the cloud. It is about reducing latency, simplifying governance, and enabling real-time decisions at scale. Apollo Hospitals offers a useful example of what this looks like in practice and why foundational modernization, including PostgreSQL modernization, is moving up the priority list.
Why PostgreSQL is accelerating across enterprises
Most customers moving off Oracle are trying to solve the same set of business problems:
- Reduce cost and lock-in while retaining enterprise-grade capabilities.
- Increase agility by modernizing application architectures and operational models.
- Create a data foundation that can support analytics and AI at scale.
Azure Database for PostgreSQL Flexible Server is designed for that reality, providing a managed PostgreSQL service aligned to cloud-native operations. More importantly, PostgreSQL’s open ecosystem and extensibility often align well with modernization roadmaps that include application refactoring, integration patterns, and AI-enabled workloads.
For partners, the opportunity is not “database swap and done.” The opportunity is to own the modernization motion: assessment, conversion, remediation, cutover, and post-migration optimization, wrapped in a delivery model customers can repeat across portfolios.
What’s new: Tooling to accelerate Oracle-to-PostgreSQL migrations
The Microsoft Oracle to Azure Database for PostgreSQL schema conversion feature is available in the PostgreSQL extension for Visual Studio Code. It is designed to convert Oracle schema objects into PostgreSQL-compatible schema for Azure Database for PostgreSQL Flexible Server, without forcing teams to leave their developer workflows.
For partners, the key improvements are in how the workflow combines automation, validation, and structured human oversight.
- Connection and discovery: The tool connects to the source Oracle database, catalogs schema objects, and analyzes structure and dependencies to create a conversion plan.
- AI-powered transformation: “Schema Conversion Agents” use Azure OpenAI to transform Oracle-specific constructs into PostgreSQL-compatible equivalents.
- Validation-first workflow: An Azure Database for PostgreSQL Flexible Server instance is used as a scratch database for validation and testing, so you can check compatibility before producing final artifacts.
- Review tasks: The workflow flags items requiring human judgment as review tasks and supports guided completion through GitHub Copilot agent mode in Visual Studio Code.
- Deployment-ready output: Successfully validated objects are emitted as PostgreSQL SQL artifacts you can deploy.
Two partner-relevant implications are worth calling out. First, validation is not an afterthought. The workflow makes it easier to standardize “convert, validate, remediate” as a repeatable motion, not a custom craft process per customer.
Second, Microsoft guidance is explicit that AI-assisted conversion still requires independent validation. That is a feature, not a limitation. It gives you a clean governance story for customers and a clear service attach for verification, testing discipline, and production readiness.
Apollo Hospitals: A real-world Oracle-to-PostgreSQL transformation
Apollo Hospitals operates hospitals, clinics, pharmacies, labs, telemedicine services, and digital health platforms across Asia. Their systems, including clinical decision support, electronic medical records, insurance systems, and patient engagement platforms, must operate with high reliability, tight security, and real‑time responsiveness.
Apollo needed a modern, secure, cloud‑ready data platform that could scale with their growing digital healthcare ecosystem. To accomplish this, they migrated to Azure Database for PostgreSQL.
Their migration unlocked:
- ~50% reduction in legacy database cost.
- Increased agility to build new digital services.
- Improved operational efficiency and performance.
- Stronger security posture with Azure-native controls.
- Elastic scale during periods of high patient volume.
- Better developer productivity with PostgreSQL’s extensibility.
Just as importantly, Apollo’s journey validated many Microsoft tooling investments and provided repeatable patterns partners can use across industries, particularly those with complex Oracle estates.
Quadrant Technologies shows why migration partners matter
Discover how our valued partner, Quadrant Technologies, supported Apollo Hospitals’ journey from Oracle to Azure Database for PostgreSQL and how your organization can build similar high‑impact practices.
This video reinforces the central message: Microsoft is investing in tools, guidance, and programs, and Microsoft partners like you are the ones who turn modernization into measurable customer success.
How Microsoft partners can build a repeatable revenue opportunity
The combination of improved conversion tooling and rising customer demand creates a multiyear monetization path, especially for partners who invest in IP and packaged delivery.
- Build a packaged migration assessment and roadmap offer. Use a consistent assessment to produce a fundable plan: inventory and dependency discovery, conversion feasibility, remediation sizing, sequencing across apps and databases, and cutover approach. This becomes your pipeline engine and your trust builder.
- Create IP-rich accelerators that increase delivery margin. Codify your playbooks: PL/SQL refactoring patterns, testing harnesses, performance baselines, automation scripts, and standard templates for Azure Database for PostgreSQL Flexible Server. The more you standardize, the more predictable your delivery becomes.
- Expand from migration into AI readiness and application modernization. Once customers modernize their database layer, the next questions are often about analytics, AI, and modern app patterns. Microsoft Learn’s Build AI Apps with Azure Database for PostgreSQL learning path is a practical way to align your teams on semantic search, RAG, and agent patterns using Azure services alongside Azure Database for PostgreSQL.
- Differentiate with the Infra and Database Migration to Microsoft Azure specialization. This specialization is a customer-facing signal of validated migration capability. The Infra and Database Migration to Microsoft Azure specialization is intended for partners with proven success migrating infrastructure and database workloads, including PostgreSQL and other open-source databases, to Azure.
- Operationalize Azure Accelerate nominations as part of your practice. Azure Accelerate is designed to support partner-led migration and modernization motions, and eligibility can be tied to specific partner qualifications and specializations. Build nominations into your pipeline rhythm so your teams consistently take advantage of the available coverage and investments.
Your next actions
To accelerate your Azure Database for PostgreSQL migration practice:
- Review the latest Oracle‑to‑PostgreSQL migration tooling.
- Refresh your skills by taking the Build AI Apps with Azure Database for PostgreSQL AI training path on Microsoft Learn.
- Build or refine your Oracle-to-PostgreSQL migration Microsoft Marketplace offer.
- Attain the Infra and Database Migration to Microsoft Azure specialization.
- Nominate migration projects to Azure Accelerate.
Oracle-to-PostgreSQL migrations are no longer one-off engineering projects. They are becoming a core modernization motion. Partners who invest now in repeatable delivery, validation discipline, and clear differentiation will be well-positioned as customers standardize their data platforms for cloud and AI.