What is Google Cloud Vertex AI?
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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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.
89 Likeliness to Recommend
98 Plan to Renew
80 Satisfaction of Cost Relative to Value
2
Since last award
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.
+94 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 Vertex AI?
Pros
- Performance Enhancing
- Reliable
- Inspires Innovation
- Respectful
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
Model Training
Pre-Packaged AI/ML Services
Feature Engineering
Explainability
Model Monitoring and Management
Data Exploration and Visualization
Data Ingestion
Model Tuning
Openness and Flexibility
Data Labeling
Algorithm Diversity
Vendor Capability Ratings
Quality of Features
Ease of Customization
Ease of Implementation
Ease of Data Integration
Business Value Created
Ease of IT Administration
Breadth of Features
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
Swastik P.
- Role: Student Academic
- Industry: Engineering
- Involvement: Initial Implementation
Submitted Mar 2024
Great features for machine learning. Easy to use!
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
It's user friendly-ness and how easy it is to maneuver across it.
What is your favorite aspect of this product?
It generates n number of ML models so we can choose any which we like
What do you dislike most about this product?
It's price.
What recommendations would you give to someone considering this product?
It's very easy to go about, I'll recommend that person to visit each and every feature first.
Pros
- Transparent
- Caring
- Respectful
- Client Friendly Policies
Kenneth F.
- Role: Information Technology
- Industry: Other
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2024
Efficiënt, effective and does the work
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google's notebooks are similar to jupyter lab
What is your favorite aspect of this product?
Colab is the best
What do you dislike most about this product?
Need of being online
What recommendations would you give to someone considering this product?
Best product to use for data scientist and ai people
Pros
- Continually Improving Product
- Trustworthy
- Unique Features
- Generous Negotitation
Aditya A.
- Role: Operations
- Industry: Consulting
- Involvement: Business Leader or Manager
Submitted Sep 2025
unified AI platform simplifying ML workflows
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
it offers a fully unified machine learning platform that integrates all stages of AI development from data preparation, model training (AutoML and custom), to deployment and monitoring all within a single interface
What is your favorite aspect of this product?
unification of the entire ML lifecycle, enabling rapid model development with AutoML and custom training options
What do you dislike most about this product?
pricing complexity, which can be challenging to predict for varying workloads
What recommendations would you give to someone considering this product?
Invest time in training your teams on the platform’s full capabilities, leverage its AutoML for rapid prototyping, and plan for cost optimization strategies as usage scales
Pros
- Helps Innovate
- Continually Improving Product
- Enables Productivity
- Reliable
