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  1. Home
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  3. Google Cloud
Logo of Google Cloud

Google Cloud

byGoogle
in Data Marketplaces and Exchanges
4.6

Overview

Overall experience with Google Cloud

Customer Service & Support Associate
250M - 500M USD, IT Services
FAVORABLE

“Google Cloud Platform Delivers Unified Data Ecosystem With Notable Usability Challenges”

5.0
Mar 23, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Human Resources Associate
<50M USD, Miscellaneous
CRITICAL

“Older Software Users Benefit From Guidance But Privacy And Storage Issues Remain”

3.0
Mar 20, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 25th July 2024

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Updated 11th November 2024
Company type
Public
Year Founded
1998
Head office location
Mountain View, CA, United States
Annual Revenue
30B+ USD
Website
www.google.com

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Peer Discussions

Google Cloud Reviews and Ratings

4.6

(101 Ratings)

Rating Distribution

5 Star
63%
4 Star
35%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Customer Service & Support Associate
    50M-1B USD
    IT Services
    Review Source

    Google Cloud Platform Delivers Unified Data Ecosystem With Notable Usability Challenges

    5.0
    Mar 23, 2026
    My experience has been truly exceptional, primarly because it feels like a traditional utility and more like a high-performance engine for innovation. While other providers often feel like a collection of siloed services, Google Cloud Platform offers a unified data-first ecosystem that has fundamentally changed how we handle scale.
  • Customer Service & Support Associate
    50M-1B USD
    IT Services
    Review Source

    Google Cloud Platform Delivers Unified Data Ecosystem With Notable Usability Challenges

    5.0
    Mar 23, 2026
    My experience has been truly exceptional, primarly because it feels like a traditional utility and more like a high-performance engine for innovation. While other providers often feel like a collection of siloed services, Google Cloud Platform offers a unified data-first ecosystem that has fundamentally changed how we handle scale.
  • Read All 113 Reviews

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Google Cloud Likes & Dislikes

Like

It stands out for its data-first DNA, making it a favorite for organizations prioritizing speed and intelligence. - BigQuerys Serverless Analytics: It is the industry gold standard. You can query petabytes of data using standard SQL without managing any infrastructure. The BigQuery ML integration allows you to build and run AI models directly where your dara lives, saving massive amounts of time on ETL. - Vertex AI Ecosystem: The transition from raw data to generative AI is seamless. With the Gemini 3.1 models now integrated, you can move from prototyping to production-ready Agentic AI faster than on any other platform. - Google Kubernetes Engine: It remains the most mature managed Kubernetes service. Its Autopilot mode virtually eliminates the operational burden of managing nodes, allowing develpers to focus entirely on code.

Like

It stands out for its data-first DNA, making it a favorite for organizations prioritizing speed and intelligence. - BigQuerys Serverless Analytics: It is the industry gold standard. You can query petabytes of data using standard SQL without managing any infrastructure. The BigQuery ML integration allows you to build and run AI models directly where your dara lives, saving massive amounts of time on ETL. - Vertex AI Ecosystem: The transition from raw data to generative AI is seamless. With the Gemini 3.1 models now integrated, you can move from prototyping to production-ready Agentic AI faster than on any other platform. - Google Kubernetes Engine: It remains the most mature managed Kubernetes service. Its Autopilot mode virtually eliminates the operational burden of managing nodes, allowing develpers to focus entirely on code.

Like

It stands out for its data-first DNA, making it a favorite for organizations prioritizing speed and intelligence. - BigQuerys Serverless Analytics: It is the industry gold standard. You can query petabytes of data using standard SQL without managing any infrastructure. The BigQuery ML integration allows you to build and run AI models directly where your dara lives, saving massive amounts of time on ETL. - Vertex AI Ecosystem: The transition from raw data to generative AI is seamless. With the Gemini 3.1 models now integrated, you can move from prototyping to production-ready Agentic AI faster than on any other platform. - Google Kubernetes Engine: It remains the most mature managed Kubernetes service. Its Autopilot mode virtually eliminates the operational burden of managing nodes, allowing develpers to focus entirely on code.

Dislike

Is not confidential - personal information fed to AI can cause breaches. Cloud storage is limited unless you pay for more storage which isn't decently priced. Speech to text needs serious work - constant repeating.

Dislike

Is not confidential - personal information fed to AI can cause breaches. Cloud storage is limited unless you pay for more storage which isn't decently priced. Speech to text needs serious work - constant repeating.

Dislike

Is not confidential - personal information fed to AI can cause breaches. Cloud storage is limited unless you pay for more storage which isn't decently priced. Speech to text needs serious work - constant repeating.

Reviewer Insights for: Google Cloud