Cloud Services Comparison Cheatsheet (Azure vs AWS vs GCP)

Cloud interoperability is no longer a luxury—it’s a strategic necessity. Startups and SMEs building AI-first products must understand how Azure, AWS, and GCP map core services across analytics, compute, storage, and orchestration to future-proof their digital infrastructure.
Cloud Services Comparison Cheatsheet (Azure vs AWS vs GCP) (1)

Why This Matters for Startups & SMEs
Many startups begin with a single cloud provider due to cost or skill comfort. But as products mature, cross-cloud strategy becomes vital:

  • Avoid vendor lock-in

  • Deploy globally with localized cloud availability zones

  • Leverage best-of-breed features across platforms

This is particularly important when integrating:

  • Real-time AI pipelines (e.g., Azure Stream Analytics vs AWS Kinesis vs GCP Dataflow)

  • Serverless architecture (Azure Functions, AWS Lambda, Google Cloud Functions)

  • Scalable storage and querying (Blob Storage, S3, Cloud Storage + BigQuery/Athena)

UIX Store | Shop ensures all AI workflow components come pre-configured with cross-cloud templates and provider-agnostic abstractions.

How Startups Can Leverage This Through UIX Store | Shop
With our Cloud Integration Toolkit, you can:

  • Deploy any AI pipeline to Azure, AWS, or GCP with 1-click IaC templates

  • Plug into secure data storage with native encryption (Blob, S3, or GCS)

  • Trigger serverless functions for real-time RAG queries or LLM responses

  • Enable AI Tooling with built-in connectors to BigQuery, Redshift, or Synapse

  • Monitor workloads using built-in integrations with Azure Monitor, CloudWatch, or GCP Logging

We abstract cloud-specific complexity and wrap it into UIX-friendly APIs and workflows.

Strategic Impact
Cloud-native development = flexibility + velocity. Our cloud cheatsheet alignment means:

  • Reduced onboarding friction when switching clouds

  • Increased developer productivity via unified tooling

  • Enterprise-grade observability & security baked in from Day 1

  • Seamless integration into RAG, MLOps, or Agentic AI use cases

In Summary

Cloud-smart equals product-smart. At UIX Store | Shop, we help startups and SMEs build intelligent, cloud-native applications that are resilient across Azure, AWS, and GCP—without being locked into one provider.

To start your journey toward multi-cloud scalability and AI-ready deployment, visit our onboarding page for the Cloud Integration Toolkit and supporting infrastructure modules:
https://uixstore.com/onboarding/

Contributor Insight References

  1. Sahu, A. (2025). Cloud Services Comparison Infographic: Azure vs AWS vs GCP. LinkedIn, 3 April. Available at: https://www.linkedin.com/in/abhiseksahu
    → Provided the foundational service mapping across Azure, AWS, and GCP that informs the UIX Store | Shop Cloud Integration Toolkit’s cross-provider abstractions and one-click IaC deployment strategies.

  2. Microsoft Azure Docs. (2025). Azure Architecture Center – Cloud Adoption Framework. Microsoft. Available at: https://learn.microsoft.com/en-us/azure/architecture
    → Referenced for aligning Blob Storage, Azure Functions, and Synapse Analytics into UIX Store’s provider-agnostic blueprints.

  3. Google Cloud Platform. (2025). GCP Service Comparison Tables. Google Cloud. Available at: https://cloud.google.com/docs/compare
    → Used to align GCP-specific services (BigQuery, Cloud Functions, Dataflow) into the preconfigured AI workflows within the Cloud Toolkit suite.

  4. Amazon Web Services (AWS). (2025). AWS Architecture Blog – Building for Cloud Interoperability. AWS. Available at: https://aws.amazon.com/blogs/architecture
    → Influenced the inclusion of AWS-native equivalents (S3, Lambda, Kinesis) within the unified abstraction layer shipped in the UIX Store CI/CD modules.

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