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
79 Satisfaction of Cost Relative to Value
1
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
Data Exploration and Visualization
Explainability
Model Monitoring and Management
Pre-Packaged AI/ML Services
Feature Engineering
Data Ingestion
Data Labeling
Openness and Flexibility
Model Tuning
Algorithm Diversity
Vendor Capability Ratings
Ease of Customization
Quality of Features
Ease of Implementation
Ease of Data Integration
Ease of IT Administration
Business Value Created
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
John Olayemi D.
- Role: Information Technology
- Industry: Construction
- Involvement: IT Leader or Manager
Submitted Aug 2025
Wonderful products with great features
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Vertex AI stands out because it unifies data preparation, training, deployment, and monitoring in a single managed environment. Its tight integration with other Google Cloud services makes scaling easier, and the pay-as-you-go model is attractive compared to platforms that require heavy upfront setup.
What is your favorite aspect of this product?
My favourite aspect is the simplicity of deploying models into production. Vertex AI makes it possible to go from training to serving with just a few steps, while also offering built-in monitoring and version control.
What do you dislike most about this product?
The main drawback is the cost, which can escalate quickly for large-scale training jobs. The learning curve for new users is also steep, and the documentation could be clearer with more practical examples.
What recommendations would you give to someone considering this product?
Start small with a proof of concept to understand usage costs before scaling up. Make use of Google’s tutorials and community resources to shorten the learning curve. Vertex AI is best suited for teams that already use Google Cloud, so ensure alignment with your existing infrastructure.
Pros
- Continually Improving Product
- Inspires Innovation
- Helps Innovate
- Reliable
