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Sparity Soft Technologies
www.sparity.com
AWS Vs Azure vs GCP – Which one to choose in 2024?
Contents [hide]
• Introduction
• AI & ML
• Compute
• Storage
• Developer Tools
• Networking and Content Delivery
• Databases
• Security
• Containers
• Analytics
• Serverless
• Conclusion
• Why Sparity
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 vs Azure vs 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 vs Azure vs 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
Add Amazon EC2
and RDS instances
Azure ExpressRoute
Azure Firewall &
VPN Gateway
Application
Protection with
Cloud Armor
Networking and
Content Delivery
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 Load
Balancer
Azure Virtual
Network
Azure Traffic
Manager
Azure
Communications
Gateway and
Content Delivery
Network
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
Microsoft Defender
for Cloud
Mandiant Threat
Intelligence
Amazon Security
Lake
Amazon GuardDuty
Open Cybersecurity
Schema Framework
(OCSF)
Preventative
guardrails on AWS
ML Integrated
GuardDuty for AWS
Workloads
Azure Bastion
Azure DDoS
Protection
Azure Firewall
Azure Information
Protection
Microsoft Sentinel
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
Azure Data Factory
and Data Explorer
BigQuery
CloudSearch
Amazon QuickSight
Amazon
OpenSearch Service
Amazon Redshift
Amazon EMR
(Elastic MapReduce)
Azure Data Lake
Storage & Analytics
Azure Databricks
Azure Stream &
Synapse Analytics
Microsoft Fabric -
Power BI Intergated
Microsoft Graph
Data Connect
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 & Why Sparity
As we listed Comprehensive features between 3 Providers, When choosing between AWS vs
Azure vs 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
When considering cloud migration with AWS vs Azure vs 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

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AWS vs Azure vs GCP – Which one to choose in 2024.pdf

  • 1. Sparity Soft Technologies www.sparity.com AWS Vs Azure vs GCP – Which one to choose in 2024? Contents [hide] • Introduction • AI & ML • Compute • Storage • Developer Tools • Networking and Content Delivery • Databases • Security • Containers • Analytics • Serverless • Conclusion • Why Sparity 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 vs Azure vs 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 vs Azure vs GCP to adopt, you're in the right place. Here, we've listed the wide range of offerings from each category
  • 2. 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
  • 3. 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 Add Amazon EC2 and RDS instances Azure ExpressRoute Azure Firewall & VPN Gateway Application Protection with Cloud Armor
  • 4. Networking and Content Delivery 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 Load Balancer Azure Virtual Network Azure Traffic Manager Azure Communications Gateway and Content Delivery Network 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 Microsoft Defender for Cloud Mandiant Threat Intelligence
  • 5. Amazon Security Lake Amazon GuardDuty Open Cybersecurity Schema Framework (OCSF) Preventative guardrails on AWS ML Integrated GuardDuty for AWS Workloads Azure Bastion Azure DDoS Protection Azure Firewall Azure Information Protection Microsoft Sentinel 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 Azure Data Factory and Data Explorer BigQuery
  • 6. CloudSearch Amazon QuickSight Amazon OpenSearch Service Amazon Redshift Amazon EMR (Elastic MapReduce) Azure Data Lake Storage & Analytics Azure Databricks Azure Stream & Synapse Analytics Microsoft Fabric - Power BI Intergated Microsoft Graph Data Connect 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 & Why Sparity As we listed Comprehensive features between 3 Providers, When choosing between AWS vs Azure vs 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 When considering cloud migration with AWS vs Azure vs GCP, decide whether your IT team can handle the process or if a cloud consulting partner is needed. Sparity provides end-
  • 7. 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