Google Cloud vs AWS Cloud

by Gralio Feb 27, 2025

Google Cloud and AWS Cloud are leading cloud platforms catering to diverse business needs. Google Cloud stands out with its AI/ML prowess and Google Workspace integration, while AWS offers a broader range of services and a larger global footprint. The best choice depends on specific business requirements and priorities like AI/ML focus versus breadth of services.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 2623 reviews and 60 websites, saving 15 hours, 4 minutes of reading.

Logo of Google Cloud
Logo of AWS Cloud

About

Google Cloud is a suite of cloud computing services for businesses of all sizes. It offers a wide range of tools and services, from data storage and analytics to AI and machine learning, that can help businesses innovate and grow. Google Cloud is known for its strong security features, commitment to open source technologies, and expertise in AI and data analytics. New users get $300 to test the platform.
AWS Cloud is a widely used platform offering a comprehensive suite of cloud computing services. It provides businesses of all sizes with tools like data storage, computing power, and application hosting. AWS prioritizes security and reliability, aiming to help companies innovate faster and reduce IT costs. Its vast global infrastructure and wide range of services make it a popular choice for businesses looking to move their operations to the cloud.

Summary

Main difference
Google Cloud excels in AI/ML and data analytics, integrating seamlessly with other Google services and offering a user-friendly interface. AWS Cloud boasts a wider range of services and a larger global infrastructure, providing greater flexibility and established reliability for diverse workloads.

Relative strengths of Google Cloud (compared to AWS Cloud)

  • Stronger AI/ML and data analytics capabilities.

  • Seamless integration with Google Workspace.

  • User-friendly interface and documentation.

Relative weaknesses of Google Cloud (compared to AWS Cloud)

  • Less extensive service offerings compared to AWS.

  • Occasional service outages reported.

  • Pricing can be complex.

Who is using Google Cloud and AWS Cloud?

Ollie Forsyth
New Economies Founder
Ollie Forsyth
New Economies Founder
Wiz
VP Product at Miro
Nate Matherson
Head of Growth at Numeral | YC Alum
Trevor Lee
Co-Founder and CEO at Myko AI
Justin Ashby
Head of Marketing at Glyphic
Show all 6 stacks

Who should use Google Cloud VS. AWS Cloud

Google Cloud is a comprehensive suite of cloud computing services ideal for businesses of all sizes. Users praise its excellent data storage, seamless integration with other Google services, and robust security features. However, some find it initially challenging to use and experience occasional service outages. The platform offers a wide range of tools and services, from data storage and analytics to AI and machine learning. New users receive $300 to explore the platform.

AWS Cloud is a comprehensive cloud platform offering diverse services like data storage, computing, and application hosting. Businesses value its scalability, reliability, and security. Users praise its easy setup and management but note concerns about PostgreSQL compatibility and cost. AWS Cloud caters to various needs, from basic data storage to complex AI/ML applications.

  • Ideal for businesses of all sizes seeking scalable solutions, from startups to large enterprises.

  • A good fit for various industries, including Retail, Manufacturing, Finance, Healthcare, and Media & Entertainment.

  • Ideal for businesses of all sizes, from startups to large enterprises.

  • Best fit for software, IT, and telecommunications companies, but less suitable for healthcare, government, and professional services.

Google Cloud and AWS Cloud features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need

  • AI-powered assistant
    Supported

    Google Cloud offers AI-powered assistants like Gemini and Vertex AI for various tasks including content generation and automation.

    Supported

    AWS offers AI-powered assistants like Amazon Lex and Amazon Q.

  • Machine learning platform
    Supported

    Vertex AI empowers developers and data scientists to build, train, and deploy machine learning models at scale.

    Supported

    AWS Cloud offers a comprehensive machine learning platform through Amazon SageMaker.

  • Variety of Storage Engines
    Supported

    Google Cloud offers various storage engines like object, block, file, and archival storage.

    Supported

    AWS Cloud offers various storage engines like S3, EBS, and EFS, catering to diverse data needs.

  • Cost Effective Archive Storage
    Supported

    Google Cloud offers Archive Storage, a cost-effective solution for infrequently accessed data.

    Supported

    AWS offers cost-effective archive storage with S3 Glacier for infrequently accessed data.

  • AWS integration
    Supported

    Google Cloud offers several methods for connecting to and working with AWS.

    Supported

    AWS Cloud offers extensive support for connecting to and working with various Amazon Web Services (AWS) through a suite of integration services, including API management, event buses, messaging, no-code API integration, data integration tools, workflow orchestration, and integrations with third-party applications.

  • Cloud integration
    Supported

    Google Cloud offers various services and tools for integrating with other cloud platforms.

    Supported

    AWS Cloud offers extensive support for cloud integration, enabling seamless connections with various cloud platforms and services through a wide range of tools and services, including native integrations, application integration services, no-code integration tools, data integration capabilities, messaging and event-driven architectures, and workflow orchestration services.

Qualities

  • Value and Pricing Transparency
    -0.31
    Rather negative sentiment
    -0.28
    Neutral sentiment
  • Customer Service
    +0.22
    Neutral sentiment
    +0.73
    Strongly positive sentiment
  • Ease of Use
    +0.79
    Strongly positive sentiment
    +0.77
    Strongly positive sentiment
  • Reliability and Performance
    +0.53
    Rather positive sentiment
    +0.77
    Strongly positive sentiment
  • Ease of Implementation
    +0.42
    Rather positive sentiment
    +0.62
    Rather positive sentiment
  • Scalability
    +0.65
    Rather positive sentiment
    +0.88
    Strongly positive sentiment

Google Cloud and AWS Cloud Pricing

No data

User sentiment

Rather negative
-0.31

See full Pricing page

No data

See full Pricing page

Google Cloud and AWS Cloud review insights

2160 reviews analysed from and

Users love

  • Excellent data storage and management capabilities.
  • Seamless integration with other Google services.
  • Strong security features and data protection.
  • High scalability and performance for various workloads.
  • User-friendly interface and comprehensive documentation.
  • Easy to set up and manage.
  • Handles time-consuming administrative tasks.
  • Simplifies database management.
  • Supports multiple database engines.

Users dislike

  • Difficult to work with for new users.
  • Occasional service outages are a concern.
  • Offline access is limited for some services.
  • Pricing can be complex and unpredictable.
  • Limited customization for specific services.
  • Postgresql 14+ is not supported very well.
  • Cost: RDS can be expensive compared to running your own database.
  • Limited control over low-level configurations.
  • Two editors are provided, which is unnecessary.

Google Cloud and AWS Cloud Ratings

  • G2
    4.5/5
    (473)
  • Capterra
    4.7/5
    (1707)
  • Glassdoor
    3.5/5
    (2)
  • G2
    4.5/5
    (463)
  • Glassdoor
    3.7/5
    (206324)

Company health

Employee growth

No data
11% increase in the last year

Web traffic

No data
10% increase in the last quarter

Financing

No data
No data

How do Google Cloud's AI strengths compare to AWS's broader service offering?

Google Cloud's AI strengths, particularly in machine learning and data analytics, offer a competitive edge compared to AWS's broader, more generalized service offering. While AWS offers a vast array of services, Google's specialization in AI can be more appealing to businesses prioritizing AI-driven innovation and needing advanced data analysis capabilities. However, AWS's wider range of services might be better suited for businesses seeking a comprehensive, one-stop-shop solution for various cloud computing needs beyond AI.

Which platform better integrates with my existing infrastructure, AWS or Google Cloud?

Google Cloud better integrates with existing AWS infrastructure due to its explicit features designed for AWS integration. While AWS naturally integrates with its own services, it lacks specific integrations for connecting with Google Cloud. Therefore, if your existing infrastructure is on AWS, Google Cloud offers a smoother integration path.

What are the advantages of Google Cloud?

Google Cloud's advantages include a strong focus on data analytics and AI, seamless integration with other Google services, and a generous $300 credit for new users to explore the platform. It also receives higher user ratings on G2 and Capterra compared to AWS's Glassdoor rating. While both cater to diverse industries, Google Cloud demonstrates a good fit for a wider range of sectors based on the provided data.

What are the disadvantages of Google Cloud?

Google Cloud can be difficult for new users due to its complexity. Users sometimes experience service outages. Some services have limited offline access. Finally, pricing can be complex and unpredictable, making cost management challenging.

Alternatives to Google Cloud and AWS Cloud

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Red Hat OpenStack Platform
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AWS Developer Tools
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Page co-authored by
MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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