
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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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
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?
Pros
- Helps Innovate
- Performance Enhancing
- Efficient Service
- Fair
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Cloud Migration
Configuration Validation
Cloud Integration
Cloud Analytics and Reporting
Application Release Automation
Self Service Cloud Services
Orchestration and Workflow Management
Capacity Management
Performance Monitoring Management
Automatic Resource Scaling Elasticity
Cloud SLA Management Governance
Vendor Capability Ratings
Ease of Implementation
Business Value Created
Ease of Data Integration
Ease of Customization
Ease of IT Administration
Usability and Intuitiveness
Breadth of Features
Availability and Quality of Training
Quality of Features
Product Strategy and Rate of Improvement
Vendor Support
Also Featured in...
Google Cloud Reviews
Ananda T.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted May 2025
sharp for machine learning.
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
Cesar C.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted May 2025
Powerful Software Perfect For Machine Learning
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
Deep B.
- Role: Industry Specific Role
- Industry: Technology
- Involvement: End User of Application
Submitted May 2025
perfect for data crunching.
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
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