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Comparison · Data Warehouse · weekly run Nov 3

AWS vs Microsoft Azure

Which one do AI engines recommend, and how do they differ on price, fit and features?

Track both brands

The short answer

AWS is the stronger AI pick in Data Warehouse: it has a visibility score of 32.5 versus 22.2 for Microsoft Azure, and ranks ahead in 84% of the answers that name both.

Choose AWS if…

  • You want the brand AI engines rank higher (32.5 vs 22.2)
  • You need PCI DSS Level 1 or DoD SRG or ISO 9001 coverage
  • Core federation and multi-account management included at no extra charge
  • Enterprise-grade reliability and uptime on AWS infrastructure

Choose Microsoft Azure if…

  • You need ISO 42001 or DoD IL2 through IL6 or StateRAMP or HITRUST or HIPAA/HITECH or PCI DSS or 23 NYCRR Part 500 coverage
  • Strong fit for Microsoft-centric enterprises using Power BI, Azure, and Microsoft 365
  • Unified analytics service combining data integration, warehousing, and big data analytics
  • Azure AI ecosystem integration

AI visibility side by side

Latest weekly run · Nov 3

Metric AWS Microsoft Azure
Visibility score32.5%22.2%
Change vs last weekNewNew
Rank in Data Warehouse#5#6
Share of voice9.3%7.6%
Mentions this run5242
Positive in AI answers16%—

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3AWS 33%

AWS 0pp · Microsoft Azure 0pp over 0 weekly runs.

Engine by engine

AWS leads on 3 of 3 engines

ChatGPT
34.6%
20%
AI Mode
42%
34.4%
Perplexity
20.7%
12%
AWSMicrosoft Azure

Head to head in AI answers

44 engine answers name both brands

37AWS ranked higher
7Microsoft Azure ranked higher
PromptEngineAWSMicrosoft Azure
What is a data warehouse and when does a company need one? ChatGPT#6#1
How do I choose a data warehouse for a mid-market team? ChatGPT#7#5
How do I choose a data warehouse for a mid-market team? AI Mode#2#3
What features matter most in a data warehouse? AI Mode#3#4
How do companies store and query business data at scale without a dedicated tool? AI Mode#8#5
What is the difference between a data warehouse and a data lake? ChatGPT#2#3
What should a data warehouse integrate with? AI Mode#8#5
What are the best data warehouse tools in 2026? ChatGPT#6#10
What are the best data warehouse tools in 2026? AI Mode#2#3
What are the best data warehouse tools in 2026? Perplexity#6#7
Top data warehouse options for B2B SaaS companies ChatGPT#7#13
Top data warehouse options for B2B SaaS companies AI Mode#5#8

Features, pricing & fit

DimensionAWSMicrosoft Azure
Deployment—Cloud, hosted on Microsoft Azure
ComplianceSOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001ISO 27001, ISO 27017, ISO 27018, ISO 27701, ISO 42001, SOC 1, SOC 2, SOC 3, FedRAMP, DoD IL2 through IL6, StateRAMP, HITRUST, HIPAA/HITECH, PCI DSS, 23 NYCRR Part 500
Founded2021—
HeadquartersSeattle, WashingtonRedmond, Washington (parent: Microsoft)
Employees5,000+5,000+

Pros and cons

Themes from the AI answers that mention each brand

AWS

  • Core federation and multi-account management included at no extra charge
  • Enterprise-grade reliability and uptime on AWS infrastructure
  • Pay-as-you-go, usage-based pricing
  • Deep integration with the AWS ecosystem and AI tools
  • Recognised by analysts such as Gartner and ISG
  • Requires strong AWS engineering or technical expertise

Microsoft Azure

  • Strong fit for Microsoft-centric enterprises using Power BI, Azure, and Microsoft 365
  • Unified analytics service combining data integration, warehousing, and big data analytics
  • Azure AI ecosystem integration

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “AWS vs Microsoft Azure”, https://slateindex.ai/compare/aws-vs-microsoft-azure, data of Nov 3, 2026. Licence: CC BY 4.0.