What challenges did Apollo Hospitals face before AI implementation?

Their in-house hospital information system on Oracle became difficult to maintain. Performance bottlenecks, high scaling costs, and operational burden were limiting agility.

What was the impact of the AI solution?

90% of transactions complete within five seconds. Uptime improved to 99.95%. Deployment timelines dropped by 40%. 60% reduction in operational costs. 3x overall system performance improvement.

Source

Microsoft

Apollo Hospitals migrates Oracle to Azure Database for PostgreSQL with AI-assisted migration tooling

Use case typeCloud migrationUpdated Mar 16, 2026

Apollo Hospitals migrated its in-house hospital information system from Oracle to Azure Database for PostgreSQL to address performance bottlenecks, high scaling costs, and operational burden. The migration used AI-assisted Oracle-to-PostgreSQL tooling, multi-agent AI, and GitHub Copilot integration to convert schemas and stored procedures, refactor application code, generate unit tests, and validate changes in a scratch PostgreSQL environment.

Organization: Apollo Hospitals
Industry: Healthcare
Location: India
Published: March 2026

Reported outcomes

+300%

system performanceOther quantified impact

+90%transactions completing within five seconds+100%uptime−40%deployment timelines−60%operational costs

Strategic outcomes

Cost efficiencyReduced maintenance burden for the hospital information systemSpeed & agilityEnabled faster rollout of new features and updatesInnovation & cultureCreated a pathway toward AI-powered clinical dashboards and real-time analytics

Primary read

Use case focus

Showing 3 of 3

1Cloud migration
2Code modernization
3Workflow automation

Their in-house hospital information system on Oracle became difficult to maintain.
Performance bottlenecks, high scaling costs, and operational burden were limiting agility.

Migrated to Azure Database for PostgreSQL.
Used AI-assisted Oracle-to-PostgreSQL migration tooling with multi-agent AI and GitHub Copilot integration.
Automated schema and procedure conversion, code refactoring, unit test generation, and validation in a scratch PostgreSQL environment.

Technologies

Azure Database for PostgreSQL GitHub Copilot Visual Studio Code Azure Kubernetes Service Microsoft Defender for Cloud Entra ID Azure HorizonDB

90% of transactions complete within five seconds.
Uptime improved to 99.95%.
Deployment timelines dropped by 40%.
60% reduction in operational costs.
3x overall system performance improvement.

Architecture

Apollo Hospitals migrated its Oracle-based hospital information system to Azure Database for PostgreSQL. Microsoft also described an AI-assisted Oracle-to-PostgreSQL migration tool available as part of the PostgreSQL extension for Visual Studio Code; it uses a multi-agent AI system, GitHub Copilot integration, automated unit tests, and scratch-environment validation to convert schemas, stored procedures, and application code.

Implementation partners1

GitHub

Sources & evidence1

Groundedness: 4/5Type: Blog PostPublished: Mar 16, 2026Publisher: MicrosoftEvidence: VendorConfidence: Medium

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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