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Google Cloud AI Platform vs Google Vertex AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Customer Service

Sentiment score
8.5
Google Cloud AI Platform's support is prompt but inconsistent, with room for improvement compared to competitors like Salesforce.
Sentiment score
6.8
Feedback on Google Vertex AI's support is mixed, with some users desiring faster response times and improvements in communication.
 

Scalability Issues

Sentiment score
7.0
Google Cloud AI Platform is highly scalable, with users expressing confidence and testing for future integration and benefits.
Sentiment score
8.1
Google Vertex AI excels in scalability and flexibility, efficiently managing projects despite some processing delays with large datasets.
 

Stability Issues

Sentiment score
7.9
Google Cloud AI Platform is widely regarded as stable, consistently rated 7-8 out of 10 for its reliability.
Sentiment score
8.5
Google Vertex AI is praised for its stability, reliability, robust infrastructure, and seamless integration, outperforming alternatives like Azure.
 

Room For Improvement

Google Cloud AI Platform should enhance usability, integration, performance, offer more features, and adjust pricing for improved user satisfaction.
Users seek enhanced features, better integration, simplified use, advanced customization, efficient support, and improved accessibility on Google Vertex AI.
 

Setup Cost

Google Cloud AI Platform is competitively priced, with costs based on usage, offering great value with high customer satisfaction.
Google Vertex AI offers transparent pricing with cost-effective models, often seen as cheaper than Azure, ideal for skilled developers.
 

Valuable Features

Google Cloud AI Platform offers affordable, intuitive services for handwriting recognition, object classification, model updates, and image text extraction.
Google Vertex AI offers centralized feature management, real-time monitoring, and multi-model capabilities, simplifying AI deployment for non-experts.
 

Categories and Ranking

Google Cloud AI Platform
Ranking in AI Development Platforms
7th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Google Vertex AI
Ranking in AI Development Platforms
2nd
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
10
Ranking in other categories
AI Infrastructure (1st)
 

Mindshare comparison

As of December 2024, in the AI Development Platforms category, the mindshare of Google Cloud AI Platform is 7.2%, down from 7.4% compared to the previous year. The mindshare of Google Vertex AI is 23.7%, up from 16.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Vipul-Kumar - PeerSpot reviewer
An AI platform AI Platform to train your machine learning models at scale, to host your trained model in the cloud, and to use your model to make predictions about new data
I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.
Serge Dahdouh - PeerSpot reviewer
A user-friendly platform that automatizes machine learning techniques with minimal effort
We work with clients who request the implementation of a certain document into a chatbot. Because of the limited knowledge of AI, our task is to link that file to the ML and provide a platform that can work as a customer service. We previously used LangChain Phython, but now it is done through Vertex AI.
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Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
824,053 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
11%
Manufacturing Company
10%
University
9%
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
9%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Cloud AI Platform?
A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up...
What is your primary use case for Google Cloud AI Platform?
We use Google Cloud AI Platform to extract text from images, such as forms.
What do you like most about Google Vertex AI?
We extensively utilize Google Cloud's Vertex AI platform for our machine learning workflows. Specifically, we leverage the IO branch for EDA data in Suresh Live Virtual, employing Forte IT for trai...
What is your experience regarding pricing and costs for Google Vertex AI?
They have different pricing models like pay-as-you-go or subscription model, and total cost of ownership. It is comparatively cheaper than Azure.
What needs improvement with Google Vertex AI?
I'm not sure if I have suggestions for improvement. Based on my comparison between the two, Vertex has various additional functionalities that Azure doesn't provide.
 

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Overview

 

Sample Customers

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Find out what your peers are saying about Google Cloud AI Platform vs. Google Vertex AI and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.