Oracle_AWS_Azure_GCP_Comparison_ModernTech.pptx

Oracle_AWS_Azure_GCP_Comparison_ModernTech.pptx

• 1.
  Cloud Platform Comparison OracleCloud (OCI) vs AWS vs Azure vs Google Cloud (GCP) A high-level overview and key differences
• 2.
  Introduction to CloudComputing computing delivers computing services over the internet — servers, storage, databases, networking, and mo bles scalability, flexibility, and cost efficiency. op four cloud providers dominate the global market: AWS, Azure, GCP, and Oracle Cloud.
• 3.
  Oracle Cloud Infrastructure(OCI) Strong in enterprise workloads, especially databases and ERP. High performance with low-cost networking options. Integrated with Oracle Autonomous Database and Exadata. Ideal for existing Oracle customers and regulated industries.
• 4.
  Amazon Web Services(AWS) Largest cloud provider with broadest service portfolio (200+ services). Strong in scalability, reliability, and developer ecosystem. Offers services across compute, AI/ML, IoT, and security. Pay-as-you-go pricing with global data center coverage.
• 5.
  Microsoft Azure Deep integrationwith Microsoft products (Windows, Office, Active Directory). Hybrid cloud leadership with Azure Arc and Stack. Excellent enterprise adoption and compliance certifications. Strong AI, analytics, and DevOps capabilities.
• 6.
  Google Cloud Platform(GCP) Leader in data analytics, AI, and machine learning tools (BigQuery, Vertex AI). Efficient pricing with sustained-use discounts. Strong open-source and Kubernetes ecosystem (creator of Kubernetes). Preferred by startups and data-driven enterprises.
• 7.
  Core Services Comparison Compute:AWS EC2, Azure VMs, GCP Compute Engine, OCI Compute. Storage: S3, Azure Blob, GCP Cloud Storage, OCI Object Storage. Networking: VPC, Virtual Network, VPC Network, OCI VCN. Each offers scalability, automation, and cross-region redundancy.
• 8.
  Database & AI/MLServices Oracle: Autonomous Database, MySQL HeatWave, AI Vector Search. AWS: RDS, Redshift, SageMaker for ML. Azure: SQL Database, Synapse Analytics, Azure ML. GCP: BigQuery, Cloud SQL, Vertex AI.
• 9.
  Pricing Model Comparison AWS– Pay-as-you-go, Reserved Instances, Savings Plans. Azure – Flexible pricing, hybrid benefits for Windows licenses. GCP – Sustained-use and committed-use discounts. Oracle – Simple pricing, lower data egress cost.
• 10.
  Performance & Scalability Allfour offer global scalability and high availability. AWS and Azure have the largest number of regions. Oracle Cloud offers predictable high-performance networking (RDMA). GCP focuses on optimized compute for AI/ML workloads.
• 11.
  Security & Compliance Allcomply with ISO, GDPR, HIPAA, SOC, etc. AWS: IAM and advanced security automation. Azure: Microsoft Defender and Sentinel integration. Oracle: Autonomous security and dedicated regions. GCP: Zero Trust model and encryption by default.
• 12.
  Market Share andUse Cases AWS: 31% market share – best for startups and global enterprises. Azure: 25% – best for hybrid and Microsoft environments. GCP: 11% – preferred for AI, data analytics, and open-source workloads. Oracle Cloud: 3% – strong in enterprise database and ERP customers.
• 13.
  Conclusion & Summary Eachplatform has strengths depending on workload type and business needs. AWS: Breadth of services | Azure: Enterprise & Hybrid | GCP: AI & Data | OCI: Database Performance. Choose based on cost, compliance, and ecosystem fit.