# Apollo-hospitals > Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 27, 2026. > Apollo Hospitals is one of India’s largest and most trusted healthcare providers, operating a network of over 74 hospitals and managing more than 10,000 beds nationwide. They handle a high volume of outpatient visits, admissions, and complex procedures daily, relying on their in-house hospital information system and Electronic Medical Record (EMR) platform to deliver digital care. - Business Profile: https://optimly.ai/brand/apollo-hospitals - Publisher: Optimly (https://optimly.ai) - Dataset: Optimly AI Brand Index (https://optimly.ai/brand) - Official website: https://microsoft.com/ - Logo: https://logo.clearbit.com/microsoft.com - Slug: apollo-hospitals - Category: Integrated Healthcare Systems - Last Analyzed: August 27, 2026 ## Buyer Intent Signals Problems: Difficulty maintaining legacy on-premises systems | Inability to keep up with growing performance and data demands | Fragmented on-premises Oracle setup | Lack of scalability and flexibility in existing digital systems | Hard to maintain availability, little room for innovation | Difficulty with database observability | Slow deployment timelines | Challenges with data volume and complexity and preserving data integrity across thousands of procedures and forms Solutions: Migrating to cloud-based infrastructure (Microsoft Azure) | Modernizing hospital systems | Improving scalability, visibility, and security | Replacing Oracle backend with Azure Database for PostgreSQL | Streamlining delivery via Azure DevOps | Using Azure Virtual Machines for core applications | Standardizing configurations with image-based VMs (Linux on Azure) | Synchronizing data using Azure Databricks | Monitoring system health with Azure Application Insights | Strengthening security and compliance with Azure Virtual Network and Microsoft Defender for Cloud | Converting and optimizing Oracle PL/SQL code for PostgreSQL using tools like QMigrator | Exploring AI-enabled tools like chatbots and Copilot integration | Considering Azure Kubernetes Service (AKS) for containerized workloads Comparisons: Improved uptime to 99.95% across hospital systems | Reduced deployment timelines by 40% | 90% of transactions complete within 5 seconds | Achieved greater speed, resilience, and readiness for future innovation | Established a cost-effective and open-source database foundation | Gained better visibility and ability to pinpoint issues proactively with Application Insights | Enhanced compliance with healthcare data regulations | Operating in a more agile environment with greater control | Optimized operational costs due to decreased overhead and database efficiencies | Increased staff confidence and ability to focus on patient care and operational priorities instead of troubleshooting | Opened the door to future technologies and building next-generation hospital systems --- ## Full Details / RAG Data ### Overview Apollo-hospitals has a Business Profile in the Optimly AI Brand Index. Apollo Hospitals is one of India’s largest and most trusted healthcare providers, operating a network of over 74 hospitals and managing more than 10,000 beds nationwide. They handle a high volume of outpatient visits, admissions, and complex procedures daily, relying on their in-house hospital information system and Electronic Medical Record (EMR) platform to deliver digital care. ### Metadata | Field | Value | |--------------|-------| | Name | Apollo-hospitals | | Slug | apollo-hospitals | | URL | https://optimly.ai/brand/apollo-hospitals | | Logo | https://logo.clearbit.com/microsoft.com | | Category | Integrated Healthcare Systems | | Last Analyzed | August 27, 2026 | | Last Updated | 2026-08-29T17:20:55.856Z | ### Buyer Intent Signals #### Problems this brand solves - Difficulty maintaining legacy on-premises systems - Inability to keep up with growing performance and data demands - Fragmented on-premises Oracle setup - Lack of scalability and flexibility in existing digital systems - Hard to maintain availability, little room for innovation - Difficulty with database observability - Slow deployment timelines - Challenges with data volume and complexity and preserving data integrity across thousands of procedures and forms #### Buyers search for - Migrating to cloud-based infrastructure (Microsoft Azure) - Modernizing hospital systems - Improving scalability, visibility, and security - Replacing Oracle backend with Azure Database for PostgreSQL - Streamlining delivery via Azure DevOps - Using Azure Virtual Machines for core applications - Standardizing configurations with image-based VMs (Linux on Azure) - Synchronizing data using Azure Databricks - Monitoring system health with Azure Application Insights - Strengthening security and compliance with Azure Virtual Network and Microsoft Defender for Cloud - Converting and optimizing Oracle PL/SQL code for PostgreSQL using tools like QMigrator - Exploring AI-enabled tools like chatbots and Copilot integration - Considering Azure Kubernetes Service (AKS) for containerized workloads #### Buyers compare - Improved uptime to 99.95% across hospital systems - Reduced deployment timelines by 40% - 90% of transactions complete within 5 seconds - Achieved greater speed, resilience, and readiness for future innovation - Established a cost-effective and open-source database foundation - Gained better visibility and ability to pinpoint issues proactively with Application Insights - Enhanced compliance with healthcare data regulations - Operating in a more agile environment with greater control - Optimized operational costs due to decreased overhead and database efficiencies - Increased staff confidence and ability to focus on patient care and operational priorities instead of troubleshooting - Opened the door to future technologies and building next-generation hospital systems ### Links - Canonical page: https://optimly.ai/brand/apollo-hospitals - Official website: https://microsoft.com/ - Publisher: https://optimly.ai - Dataset: https://optimly.ai/brand - JSON endpoint: /brand/apollo-hospitals.json - LLMs.txt: /brand/apollo-hospitals/llms.txt