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Google Cloud

Composite Score
9.0 /10
CX Score
9.5 /10
Google Cloud
9.0 /10

What is Google Cloud?

Google Cloud provides the building blocks so you can quickly develop everything from simple websites to complex applications. Explore how you can make Google Cloud work for you.

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Google Cloud Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

90 Likeliness to Recommend

98 Plan to Renew

89 Satisfaction of Cost Relative to Value


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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+98 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Google Cloud?

0% Negative
0% Neutral
100% Positive

Pros

  • Helps Innovate
  • Performance Enhancing
  • Efficient Service
  • Fair

Feature Ratings

Average 86

Cloud Migration

88

Configuration Validation

88

Cloud Integration

88

Cloud Analytics and Reporting

87

Application Release Automation

87

Self Service Cloud Services

86

Orchestration and Workflow Management

85

Capacity Management

84

Performance Monitoring Management

83

Automatic Resource Scaling Elasticity

83

Cloud SLA Management Governance

81

Vendor Capability Ratings

Average 86

Ease of Implementation

88

Business Value Created

88

Ease of Data Integration

88

Ease of Customization

87

Ease of IT Administration

86

Usability and Intuitiveness

86

Breadth of Features

86

Availability and Quality of Training

84

Quality of Features

84

Product Strategy and Rate of Improvement

83

Vendor Support

82

Google Cloud Reviews

Ananda T.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted May 2025

sharp for machine learning.

Likeliness to Recommend

9 /10

What differentiates Google Cloud from other similar products?

google cloud’s ai platform trumps azure ml for training models, with tensorflow roots that feel native. it’s my lab for smart apps.

What is your favorite aspect of this product?

the auto-ml tool builds models without deep coding, ideal for quick prototypes. i can use tpus for lightning-fast training, cutting hours off jobs. the ai hub shares pre-built models, speeding my experiments.

What do you dislike most about this product?

tpu costs add up fast, and budgeting needs careful attention.

What recommendations would you give to someone considering this product?

for ml enthusiasts, google cloud’s ai tools are cutting-edge.

Pros

  • Unique Features
  • Transparent
  • Includes Product Enhancements
  • Reliable

Cesar C.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted May 2025

Powerful Software Perfect For Machine Learning

Likeliness to Recommend

8 /10

What differentiates Google Cloud from other similar products?

It allows integration of open source technologies like TensorFlow

What is your favorite aspect of this product?

Powerful documentation and community support

What do you dislike most about this product?

It is more optimized for Linux yet I prefer windows

What recommendations would you give to someone considering this product?

When using it, monitor costs regularly to avoid unexpected charges

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Deep B.

  • Role: Industry Specific Role
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted May 2025

perfect for data crunching.

Likeliness to Recommend

9 /10

What differentiates Google Cloud from other similar products?

google cloud’s analytics edge out azure for big data, with ai tools that make insights feel magical. it’s my number-crunching beast for complex datasets.

What is your favorite aspect of this product?

looker studio creates dashboards fast, pulling from bigquery without lag. the ai platform trains models with minimal coding, perfect for my experiments. the dataflow service processes streaming data in real-time, like live user metrics.

What do you dislike most about this product?

the learning curve for advanced ai tools is steep without prior ml knowledge.

What recommendations would you give to someone considering this product?

if you’re diving into data analytics, google cloud’s power is unmatched.

Pros

  • Helps Innovate
  • Reliable
  • Performance Enhancing
  • Enables Productivity

Cons

  • Leverages Incumbent Status

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