Amazon Augmented AI vs Google Vertex AI comparison

Amazon Web Services (AWS) and Google are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #17 with an average rating of 8.0, while Google is ranked #2 with an average rating of 8.3. Amazon Web Services (AWS) holds a 0.6% mindshare in AIDP, compared to Google’s 10.3% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon Augmented AI

Read 1 Amazon Augmented AI review

290 Views
287 Comparison Views

100% willing to recommend

Google Vertex AI

Read 13 Google Vertex AI reviews

7,456 Views
6,710 Comparison Views

100% willing to recommend

Amazon Augmented AI

Google Vertex AI

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Amazon Augmented AI and Google Vertex AI based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms.

To learn more, read our detailed AI Development Platforms Report (Updated: September 2025).

Buyer's Guide

AI Development Platforms

September 2025

Download the complete report

Helped 871,358 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Amazon Augmented AI

Ranking in AI Development Platforms

17th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Vertex AI

Ranking in AI Development Platforms

2nd

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

AI-Agent Builders (3rd)

Mindshare comparison

As of October 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.6%, up from 0.4% compared to the previous year. The mindshare of Google Vertex AI is 10.3%, down from 19.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Market Share Distribution
Product	Market Share (%)
Google Vertex AI	10.3%
Amazon Augmented AI	0.6%
Other	89.1%

AI Development Platforms

Featured Reviews

reviewer2648256

Works

Automation reduces costs and boosts efficiency in financial tasks

I use Amazon Augmented AI for voice recognition and emotion recognition when I receive numerous emails, which are often not worth replying to. I rectify this with machine learning tools. I work in the financial industry, specializing in banks, insurance companies, government, and more The most…

Read full review

Hamada Farag

Technology Consultant at Beta Information Technology

Customization and integration empower diverse AI applications

We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.

Read full review

Quotes from Members

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

Pros

"The most valuable feature of Amazon Augmented AI is its automation capability."

"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."

"It provides the most valuable external analytics."

"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."

"With just one single platform, Google Vertex AI platform, we can achieve everything; we need not switch over to multiple tools, multiple platforms, as everything can be accomplished through this one single platform for integration with existing workflows, systems, tools, and databases."

"Google Vertex AI is an out-of-the-box and very easy-to-use solution."

"Vertex comes with inbuilt integration with GCP for data storage."

"The integration of AutoML features streamlines our machine-learning workflows."

"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."

More Google Vertex AI pros

Cons

"There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers."

"The development support, costing twenty-nine dollars per month, is almost ineffective, with long email response times."

"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."

"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."

"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."

"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."

"I'm not sure if I have suggestions for improvement."

"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."

"It takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced."

"Google Vertex AI is good in machine learning and AI, but it lacks optimization."

More Google Vertex AI cons

Pricing and Cost Advice

Information not available

"I think almost every tool offers a decent discount. In terms of credits or other stuff, every cloud provider provides a good number of incentives to onboard new clients."

"The Versa AI offers attractive pricing. With this pricing structure, I can leverage various opportunities to bring value to my business. It's a positive aspect worth considering."

"The price structure is very clear"

"The solution's pricing is moderate."

See which vendors are best for you

Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.

See recommendations

871,358 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

14%

Financial Services Firm

10%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	3
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Amazon Augmented AI?

The support levels offered by Amazon vary in cost. While the development support is cheap, it is inadequate, and the better support levels depend on usage, such as the number of virtual machines an...

See all answers

What needs improvement with Amazon Augmented AI?

There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers. Libraries require more tweaking for ongoing development and improveme...

See all answers

What is your primary use case for Amazon Augmented AI?

See all answers

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...

See all answers

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.

See all answers

What needs improvement with Google Vertex AI?

Google Vertex AI is one of the best in the market, followed by Azure AI. It can be rated at eight or nine out of ten. It is not completely mature and needs some features and functions. The interfac...

See all answers

Comparisons

Amazon SageMaker vs Amazon Augmented AI

Compared 43% of the time

Microsoft Azure Machine Learning Studio vs Amazon Augmented AI

Compared 40% of the time

Google Cloud AI Platform vs Amazon Augmented AI

Compared 17% of the time

More Amazon Augmented AI Competitors

Azure OpenAI vs Google Vertex AI

Compared 28% of the time

Microsoft Azure Machine Learning Studio vs Google Vertex AI

Compared 13% of the time

Hugging Face vs Google Vertex AI

Compared 12% of the time

Amazon SageMaker vs Google Vertex AI

Compared 7% of the time

Amazon Bedrock vs Google Vertex AI

Compared 6% of the time

More Google Vertex AI Competitors

Product Reports

Buyer's Guide

AI Development Platforms

September 2025

Download Amazon Augmented AI product report

Buyer's Guide

Google Vertex AI

October 2025

Download Google Vertex AI product report

Also Known As

Amazon A2I

No data available

Overview

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.

Amazon Web Services (AWS)

Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified artificial intelligence platform.

Google

Sample Customers

T Mobile, VidMob, Ripcord, NHS BSA

Information Not Available

Buyer's Guide

AI Development Platforms

September 2025

Download Free Report

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms. Updated: September 2025.

DOWNLOAD NOW

871,358 professionals have used our research since 2012.

See our list of best AI Development Platforms vendors.

We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.