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Legacy to Leadership: Azure PostgreSQL Powers Business Agility

PostgreSQL on Azure.

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Key points

Microsoft has detailed its efforts to encourage enterprise migration from legacy databases like Oracle to PostgreSQL on Azure, according to a recent blog post. The company positions this shift as a response to rising costs and scalability challenges associated with on-premises systems. Microsoft says its Azure services, including Azure Database for PostgreSQL and the new Azure HorizonDB, are designed to provide performance and resilience without licensing fees.

Challenges of legacy infrastructure

The post outlines that maintaining aging on-premises databases consumes significant IT budgets due to hardware refreshes, licensing fees, and specialized expertise. Microsoft cites examples where Oracle customers report rising costs and performance bottlenecks. Concerns about migration downtime, compatibility, and security are acknowledged as valid barriers. The company asserts that PostgreSQL on Azure addresses these issues with built-in enterprise features.

AI-assisted migration tooling

A key development is the introduction of an AI-assisted Oracle-to-PostgreSQL migration tool, now in preview as part of the PostgreSQL extension for Visual Studio Code. Microsoft says this tool, powered by GitHub Copilot and a multi-agent AI system, automates schema conversion, code refactoring, and validation. It scans application code in languages like Java and .NET to update SQL queries and stored procedures. The tool generates unit tests and side-by-side comparisons to ensure functional parity, aiming to reduce manual effort and errors.

Apollo Hospitals migration results

The blog features Apollo Hospitals, a major healthcare provider, as a case study. After migrating from Oracle to Azure Database for PostgreSQL, Apollo reported that 90% of transactions complete within five seconds, improving clinical system responsiveness. Uptime reached 99.95%, and deployment timelines dropped by 40%. According to the post, operational costs fell by 60% and overall system performance tripled. Apollo’s General Manager, Sridhar Yadla, is quoted saying: “We’re no longer stuck reacting to problems. Now we’re thinking proactively and looking at how we can evolve.” This demonstrates the strategic agility gained from the migration.

Post-migration platform capabilities

Microsoft emphasizes that PostgreSQL on Azure offers more than cost savings. Azure Database for PostgreSQL includes v6-series compute SKUs scaling up to 192 vCores for high-throughput workloads. Elastic clusters using the Citus extension enable horizontal scaling for SaaS and IoT applications. Storage performance improved with SSD v2, providing high IOPS and low latency. Security features such as Microsoft Defender for Cloud, Entra ID integration, and confidential compute are highlighted. The open-source nature of PostgreSQL eliminates licensing fees, with Microsoft noting its role as a top contributor to the project.

Azure HorizonDB for extreme scale

For demanding workloads, Microsoft introduced Azure HorizonDB in private preview. This cloud-native service supports up to 3,072 vCores and 128 TB of auto-scaling storage, with sub-millisecond commit latencies and up to 3x higher throughput than self-managed PostgreSQL. It includes built-in AI model management and DiskANN for intelligent data processing. Microsoft says the PostgreSQL compatibility allows a seamless upgrade path from Azure Database for PostgreSQL without application rewrites.

Open source and enterprise readiness

The company reinforces its commitment to PostgreSQL as an open-source platform engineered for enterprise use. Microsoft claims its upstream contributions enhance performance, security, and developer experience. The post argues that PostgreSQL’s community and ecosystem make it a foundational choice for next-generation applications. The AI-assisted tools and Azure integrations aim to streamline development and operations, reducing friction in modernizing legacy systems.

Overall, the blog presents PostgreSQL on Azure as a comprehensive solution for enterprises seeking to move from constrained legacy databases. The combination of cost reductions, performance gains, and AI-driven migration support is framed as enabling innovation and agility. Microsoft positions this as part of a broader strategy to empower organizations with flexible, open data platforms while maintaining enterprise-grade standards.

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