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Comparison · MLOps Platforms · weekly run Nov 2

AWS vs Google Vertex AI

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

The short answer

AWS is the stronger AI pick in MLOps Platforms: it has a visibility score of 35.7 versus 33.1 for Google Vertex AI, and ranks ahead in 64% of the answers that name both.

Choose AWS if…

  • You want the brand AI engines rank higher (35.7 vs 33.1)
  • You need ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 or ISO 27001 coverage
  • Core federation and multi-account management included at no extra charge
  • Enterprise-grade reliability and uptime on AWS infrastructure

Choose Google Vertex AI if…

  • AI answers describe it more positively (31% vs 16% positive)
  • You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or ISO/IEC 42001 or HIPAA-related attestations or PCI DSS or FedRAMP-related items coverage
  • unified ML platform across the lifecycle
  • strong Google Cloud integration

AI visibility side by side

Latest weekly run · Nov 2

Metric AWS Google Vertex AI
Visibility score35.7%33.1%
Change vs last weekNewNew
Rank in MLOps Platforms#4#5
Share of voice7.5%7.2%
Mentions this run5149
Positive in AI answers16%31%

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 2AWS 36%

AWS 0pp · Google Vertex AI 0pp over 0 weekly runs.

Engine by engine

AWS leads on 2 of 3 engines

ChatGPT
51.5%
40.2%
AI Mode
31.1%
25.6%
Perplexity
24.4%
33.5%
AWSGoogle Vertex AI

Head to head in AI answers

44 engine answers name both brands

28AWS ranked higher
16Google Vertex AI ranked higher

Features, pricing & fit

DimensionAWSGoogle Vertex AI
Deployment—Managed cloud service on Google Cloud
ComplianceSOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO/IEC 42001, SOC 1, SOC 2, SOC 3, HIPAA-related attestations, PCI DSS, FedRAMP-related items
Founded20212021
HeadquartersSeattle, WashingtonMountain View, California, United States
Employees5,000+—

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

Google Vertex AI

  • unified ML platform across the lifecycle
  • strong Google Cloud integration
  • strong support for generative and foundation models
  • robust MLOps and agentic workflow support
  • $300 starter credits
  • less developer-centric for Python, Kubernetes and Git-based teams
  • usage-based costs depend on compute, storage and API usage

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

Cite as: SlateIndex, “AWS vs Google Vertex AI”, https://slateindex.ai/compare/aws-vs-google-vertex-ai, data of Nov 2, 2026. Licence: CC BY 4.0.