John David John David

Introduction 

Cloud computing enables access to data, applications, and resources over the internet through virtual servers, offering scalability, flexibility, and cost-efficiency for users without the need for local infrastructure or maintenance.

Leading providers of cloud computing services include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, Oracle Cloud, etc. They offer a range of solutions for storage, computing power, and applications on demand.

In the market now, the situation is AWS Azure GCP, with these three companies competing with their expert cloud solutions, offering a wide range of services.

Nowadays, it’s essential for companies to migrate to the cloud for better scalability and security. If you’re confused about AWS Azure GCP to adopt, you’re in the right place. Here, we’ve listed the wide range of offerings from each category.

Category AWS AZURE GCP

AI & ML
  • Amazon Bedrock
  • Access to Leading Foundation Models
  • Private Model Customization
  • Build and Deploy Generative AI Applications
  • Experiment with Prompts and Configurations
  • Secure and Compliant
  • Anomaly Detection
  • Bot Creation and Integration
  • Enterprise Search Solutions
  • AI-Powered Data Analytics
  • End-to-End Machine Learning
  • Custom Vision and Computer Vision
  • Vertex AI: Fully Managed AI Platform
  • Generative AI Applications with Google’s Technology
  • Contact Center AI for Customer Service Enhancement
  • Speech-to-Text and Conversational AI
  • AI-Powered Code Generation with Duet AI
  • AI Ecosystem and Foundation Models

Compute
  • Amazon EC2 Compute Capacity
  • Performance and Cost
  • Versatile Use Cases
  • Amazon Lightsail: Cloud Resources
  • Simple Application Development
  • Scalable and Secure
  • Cloud App Development
  • High Performance Computing (HPC)
  • Quantum Computing Exploration
  • Flexible Compute Capacity
  • Containerized Applications
  • Virtual Machine Management
  • Compute Engine
  • Tau VMs
  • Google Kubernetes Engine (GKE)
  • Cloud Run
  • Containerization
  • Infrastructure Automation

Storage
  • Amazon Simple Storage Service (S3)
  • Amazon Elastic File System (EFS)
  • Amazon Elastic Block Store (EBS)
  • Simplifying DevOps
  • Accelerating Data Science and Content Management
  • Application Modernization along with Cloud Native
  • Avere vFXT for Azure
  • Azure Data Lake Storage
  • Azure Managed Lustre
  • Azure Elastic SAN
  • Azure HPC Cache & NetApp Files
  • Azure Blob & Disk Storage
  • Versatile Data Storage
  • Flexible Retrieval
  • Data Transfer
  • Persistent Disk Integration
  • Integrated with Google Kubernetes Engine (GKE)
  • Transfer Appliance

Developer Tools
  • Amazon Code Catalyst
  • App Development at Scale
  • Project Setup Acceleration
  • Automated Workflows
  • Amazon CodeWhisper
  • Amazon Q Gen AI Expert Assistant
  • Azure DevTest Labs & Microsoft Dev Box
  •  Azure Pipelines ( CI/CD)
  • Visual Studio
  •  SDKs
  • Azure Load Testing OR Microsoft Playwright Testing
  • Azure Managed Confidential Consortium Framework (CCF)
  • Azure Managed Confidential Consortium Framework (CCF)
  • Cloud-Native Application Development
  • Across all languages and environments
  • Deployment Solutions
  • Pre-built Solution Templates
  • Deploy dynamic websites &  Three-tier web applications
  • Load balanced VMs

Networking and
Content Delivery
  • Add Amazon EC2 and RDS instances
  • Dynamic Content, On demand video and APIs
  • Amazon CloudFront
  • Amazon VPC Operation & AWS Console
  • AWS Shield Standard for DDoS protection
  • Customize code at CDN edge
  • Azure ExpressRoute
  • Azure Firewall & VPN Gateway
  • Azure Load Balancer
  • Azure Virtual Network
  • Azure Traffic Manager
  • Azure Communications Gateway and Content Delivery Network
  • Application Protection with Cloud Armor
  • Cloud CDN Scale web and video content delivery
  • Hybrid VPN Connectivity
  • Extend on-premises networks
  • Connect directly to Google’s network – Peering
  • Tailored solutions for large organizations

Databases
  • Amazon DynamoDB Managed NoSQL
  • Amazon RDS relational database service for MySQL, PostgreSQL
  • Amzon RDS – Oracle, SQL Server
  • Amazon RDS – MariaDB
  • Amazon Aurora – High performance managed relational database
  • Amazon ElastiCache In-memory caching service
  • Azure Cache for Redis
  • Azure Cosmos DB & Maria DB
  • Azure Data Factory
  • Azure Database for MySQL, PostgreSQL
  • Azure Managed Instance for Apache Cassandra
  • Azure Database Migration Service
  • Reduce Costs with Cloud SQL
  • AlloyDB for PostgreSQL
  • High Performance
  • 99.999% Availability SLA
  • Virtually Unlimited Scale
  • Fully Managed Service

Security
  • AWS Identity and Access Management
  • Amazon Security Lake
  • Amazon GuardDuty
  • Open Cybersecurity Schema Framework (OCSF)
  • Preventative guardrails on AWS
  • ML Integrated GuardDuty for AWS Workloads
  • Microsoft Defender for Cloud
  • Azure Bastion
  • Azure DDoS Protection
  • Azure Firewall
  • Azure Information Protection
  • Microsoft Sentinel
  • Mandiant Threat Intelligence
  • Security Consulting Services
  • Chronicle Security Operations
  • Full Suite of Security Products
  • Digital Sovereignty Compliance
  • Enhanced Security Posture

Containers
  • Amazon Elastic Container Service (ECS)
  • Amazon Elastic Kubernetes Service (EKS)
  • AWS Fargate  & AWS Proton
  • AWS Migration Hub Orchestrator
  • Amazon EKS Distro AWS
  • ROSA & App2Container
  • Azure Kubernetes Service (AKS)
  • Azure Kubernetes Fleet Manager
  • Azure Red Hat OpenShift
  • Azure Container Instances
  • Azure Service Fabric
  • Azure Container Storage
  • Google Kubernetes Engine (GKE)
  • Manage multi-cluster infrastructure
  • Securely run optimized AI workloads
  • Continuous integration and delivery
  • Deploying and running applications & Migrate workloads
  • KubeFlow and Ray/ TensorFlow on GKE Autopilot with GPU

Analytics
  • Amazon Kinesis
  • Amazon CloudSearch
  • Amazon QuickSight
  • Amazon OpenSearch Service
  • Amazon Redshift
  • Amazon EMR (Elastic MapReduce)
  • Azure Data Factory and  Data Explorer
  • Azure Data Lake Storage & Analytics
  • Azure Databricks
  • Azure Stream & Synapse Analytics
  • Microsoft Fabric – Power BI Intergated
  • Microsoft Graph Data Connect
  • BigQuery
  • Google Cloud Data Warehouse Solutions
  • Google Cloud Storage & Data Lake
  • Cloud Data Fusion & Cloud Dataprep
  • Looker & Data Studio & Vertex AI
  • Cloud Pub/Sub & Dataflow

Serverless
  • AWS Lambda
  • Amazon API Gateway
  • Amazon SNS (Simple Notification Service)
  • Amazon SQS (Simple Queue Service)
  • Amazon EventBridge
  • Amazon Aurora Serverless
  • Azure Functions
  • Azure Logic Apps
  • Azure Event Grid
  • Azure Cosmos DB Triggers
  • Azure Durable Functions
  • Azure Functions Proxies
  • Eventarc
  • Cloud Endpoints
  • Firebase & Firestore
  • Cloud Run
  • Google Cloud Functions
  • AI Platform Notebook

Conclusion

As we listed Comprehensive features between 3 Providers, When choosing between AWS Azure GCP, thoroughly assess your business requirements and data volume. Services offered by providers may exceed or not align with your needs. Conduct a comprehensive assessment considering costs, scalability, security, and integration, ensuring alignment with your business goals for optimal cloud adoption. Our guide on factors to consider in choosing a Cloud Service Provider.

Source: AWS Azure GCP

Why Sparity

When considering cloud migration with AWS Azure GCP, decide whether your IT team can handle the process or if a cloud consulting partner is needed. Sparity provides end-to-end cloud services, from assessment to migration. Sparity, a trusted cloud expert, ensures seamless transition, aligning with your business goals. Our guide on factors to consider in choosing a Cloud Consulting Partner