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