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

AWS Azure GCP in 2024: Explore the best cloud choice for your needs. Compare features, pricing, and performance to make an informed decision.

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