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AWS Outposts vs. Azure Stack: A Technical Comparison for Hybrid Cloud Solutions

September 29, 2024 · 10 minutes read

Reviewed by: Liam Chen

Table of Contents

Introduction: Solving the Hybrid Cloud Dilemma

When managing workloads that demand both on-premises control and the elasticity of the cloud, AWS Outposts and Azure Stack are the go-to solutions for extending cloud services into your data center. Both products enable enterprises to run cloud-native services within their own infrastructure, but each has its distinct approach and technical architecture. This article breaks down the differences, highlights use cases, and helps you choose the right platform based on your technical requirements.

AWS Outposts: Seamless AWS Cloud Extension to On-Premises

AWS Outposts is a fully managed service that brings AWS infrastructure to your local environment. By using the same EC2 instances, S3 storage, and RDS databases as on the public AWS cloud, you get consistency across environments. The physical hardware is delivered and installed directly into your data center, and you can manage it through the same AWS Management Console and APIs used for AWS public cloud resources.

AWS Outposts is best suited for enterprises heavily integrated with AWS services but need to run workloads locally due to regulatory constraints, low-latency requirements, or data residency concerns. You can run EC2, EBS, ECS, and even Kubernetes workloads on AWS Outposts while maintaining the ability to seamlessly connect to the broader AWS cloud.

Example Use Case: Low-Latency Applications

Financial services and trading platforms, which require millisecond-level response times, often choose AWS Outposts to host their trading applications locally. This hybrid model allows the trading platform to run on-premises for instant trade execution while using AWS Lambda and Amazon S3 for real-time data backup, analytics, and compliance.

For more details, check out AWS Outposts Use Cases.

Pros:

  • Consistency: AWS-native services run locally with the same tools and APIs used in AWS cloud.
  • Scalability: Easy integration with public AWS regions for scaling beyond on-prem capacity.
  • Security: AWS handles updates and patches, reducing operational overhead for on-prem management.

Cons:

  • Vendor Lock-In: AWS Outposts only supports AWS services, which may limit flexibility if multi-cloud support is required.
  • Hardware: Physical installation and management in your data center can be complex and expensive.
  • Limited Configurations: AWS Outposts offers only predefined configurations, limiting hardware customization.

Azure Stack: Bringing Azure Services to Local Data Centers

Azure Stack extends Microsoft Azure into on-premises environments, offering flexibility across various deployment models, such as Azure Stack Hub, Azure Stack Edge, and Azure Stack HCI. This versatility allows organizations to choose a solution that fits their infrastructure and application needs.

For example, Azure Stack Hub delivers full Azure services on-premises, perfect for workloads that need local processing but can offload non-sensitive data to the cloud. Azure Stack Edge, on the other hand, specializes in AI/ML at the edge, offering processing capabilities for Internet of Things (IoT) data in real time.

Check out more details in the official Azure Stack Documentation.

Example Use Case: Regulatory Compliance in Healthcare

Healthcare organizations that deal with sensitive patient data under HIPAA regulations are increasingly adopting Azure Stack Hub. Localized processing allows these organizations to maintain compliance by keeping data on-premises while using Azure Machine Learning for diagnostic and analytical workloads that require high scalability in the public cloud.

You can read more about how Azure Stack is helping healthcare organizations meet compliance in Microsoft’s whitepaper on Hybrid Cloud and Healthcare.

Pros:

  • Flexible Deployment Models: Offers multiple configurations, including AI/edge computing and hybrid cloud.
  • Familiar Toolset: Integrates easily with Microsoft services like Active Directory, PowerShell, and SQL Server.
  • Hybrid Consistency: Run consistent services like Azure Kubernetes Service (AKS) on-premises.

Cons:

  • Complexity: Azure Stack’s different deployment models can make the setup and management more complex.
  • Hardware Dependencies: Like AWS Outposts, Azure Stack requires certified hardware, adding to the complexity.
  • Cost: Licensing fees and hardware investments can quickly add up, particularly in more customized deployments.

Head-to-Head: AWS Outposts vs. Azure Stack

Feature AWS Outposts Azure Stack
Cloud Integration Full AWS Integration Full Azure Integration
Supported Services EC2, EBS, S3, ECS, RDS Azure VM, AKS, SQL, App Service
Deployment Models Single Model (Outposts) Multiple (Hub, Edge, HCI)
Hardware Management Managed by AWS Managed by Microsoft + Certified Partners
Latency Low-Latency for AWS Services Low-Latency for Azure Services
Ecosystem AWS-only Microsoft ecosystem (Active Directory, SQL)
Flexibility Limited hardware options Flexible deployment models and custom hardware
Edge Computing Limited edge capabilities Supports AI/Edge workloads with Stack Edge
Security and Compliance Fully managed by AWS Azure Policy for governance and compliance
Primary Use Cases Low-latency workloads, AWS ecosystem Microsoft ecosystem, hybrid compliance workloads

Performance Considerations: Latency and Throughput

Both AWS Outposts and Azure Stack are designed for low-latency applications, but performance may vary depending on workloads and cloud integrations. AWS Outposts excels when performance depends on the close integration with AWS services like Lambda and S3, particularly for low-latency transactional applications.

For edge computing and real-time AI inference, Azure Stack Edge outperforms AWS in certain use cases. For example, in industrial IoT applications, Azure Stack Edge enables data to be processed on-site using GPUs for AI/ML models, reducing the latency of sending data to the cloud. For AI-heavy workloads, Microsoft has a clear edge with its Azure AI and Machine Learning services, which integrate natively into the Azure Stack architecture.

For more insights on Azure Stack Edge performance, check out Azure Stack Edge Review.

Cost Comparison: Licensing and Operational Costs

AWS Outposts operates under a subscription model, where the pricing is based on the EC2 instance types and storage configurations chosen. This is coupled with the upfront investment in physical hardware. The AWS Pricing Calculator provides more information on Outposts costs.

Azure Stack has more varied pricing models depending on which deployment method you choose. For instance, Azure Stack Hub has both usage-based pricing and the costs of certified hardware. Azure Stack HCI offers pay-as-you-go pricing but may require additional licensing for certain features like Windows Server Datacenter Edition.

For a full breakdown of Azure Stack pricing, visit Microsoft’s Azure Stack Pricing Guide.

Final Verdict: Choosing the Right Hybrid Cloud Solution

Choose AWS Outposts if you are already deeply invested in the AWS ecosystem and need a seamless, low-latency extension of AWS into your on-prem infrastructure. AWS Outposts excels in extending AWS-native applications for low-latency workloads like financial services, retail transactions, or compliance-heavy workloads.

Choose Azure Stack if your organization is more integrated with Microsoft’s services or needs a broader set of deployment models. Azure Stack is ideal for companies in sectors such as healthcare, government, and industrial IoT that require compliance controls, edge computing, or AI/ML workloads on-premises.

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Julia Knight

Tech Visionary and Industry Storyteller

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