Amazon Augmented AI vs Amazon SageMaker comparison

Amazon Augmented AI and Amazon SageMaker are both solutions in the AI Development Platforms category. Amazon Augmented AI is ranked #22 with an average rating of 8.0, while Amazon SageMaker is ranked #4 with an average rating of 8.2. Amazon Augmented AI holds a 1.1% mindshare in AIDP, compared to Amazon SageMaker’s 3.6% mindshare. Additionally, 100% of Amazon Augmented AI users are willing to recommend the solution, compared to 91% of Amazon SageMaker users who would recommend it.

Amazon Augmented AI

Read 1 Amazon Augmented AI review

532 Views
527 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,234 Views
2,743 Comparison Views

91% willing to recommend

Amazon Augmented AI

Amazon SageMaker

Comparison Buyer's Guide

Download the report

Executive Summary

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

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

To learn more, read our detailed AI Development Platforms Report (Updated: March 2026).

Buyer's Guide

AI Development Platforms

March 2026

Download the complete report

Helped 884,873 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

22nd

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Amazon SageMaker

Ranking in AI Development Platforms

4th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (2nd)

Mindshare comparison

As of March 2026, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 1.1%, up from 0.4% compared to the previous year. The mindshare of Amazon SageMaker is 3.6%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Mindshare Distribution
Product	Mindshare (%)
Amazon SageMaker	3.6%
Amazon Augmented AI	1.1%
Other	95.3%

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

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue integrate well for data transformations. The Databricks integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow, PyTorch, and MXNet, and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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."

"The tool makes our ML model development a bit more efficient because everything is in one environment."

"The product aggregates everything we need to build and deploy machine learning models in one place."

"The technical support from AWS is excellent."

"The most valuable feature of Amazon SageMaker for me is the model deployment service."

"One of the most valuable features of Amazon SageMaker for me is the one-touch deployment, which simplifies the process greatly."

"They offer insights into everyone making calls in my organization."

"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."

"I have seen a return on investment, probably a factor of four or five."

More Amazon SageMaker 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."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker. This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background."

"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."

"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

"I would recommend having more walkthrough videos and articles beyond AWS Skill Builder."

"The product must provide better documentation."

"SageMaker would be improved with the addition of reporting services."

"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."

"The dashboard could be improved by including more features and providing more information about deployed models, their drift, performance, scaling, and customization options."

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"The product is expensive."

"Databricks solution is less costly than Amazon SageMaker."

"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."

"There is no license required for the solution since you can use it on demand."

"You don't pay for Sagemaker. You only pay for the compute instances in your storage."

"I would rate the solution's price a ten out of ten since it is very high."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

"The support costs are 10% of the Amazon fees and it comes by default."

More Amazon SageMaker pricing and cost advice

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

884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	11
Large Enterprise	17

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

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

See all answers

What is your experience regarding pricing and costs for Amazon SageMaker?

If you manage it effectively, their pricing is reasonable. It's similar to anything in the cloud; if you don't manage it properly, it can be expensive, but if you do, it's fine.

See all answers

Comparisons

Microsoft Azure Machine Learning Studio vs Amazon Augmented AI

Compared 23% of the time

Google Cloud AI Platform vs Amazon Augmented AI

Compared 22% of the time

IBM Machine Learning vs Amazon Augmented AI

Compared 19% of the time

Tecnotree Moments vs Amazon Augmented AI

Compared 15% of the time

More Amazon Augmented AI Competitors

Databricks vs Amazon SageMaker

Compared 8% of the time

Google Vertex AI vs Amazon SageMaker

Compared 7% of the time

Dataiku vs Amazon SageMaker

Compared 6% of the time

Stack AI vs Amazon SageMaker

Compared 6% of the time

DataRobot vs Amazon SageMaker

Compared 5% of the time

More Amazon SageMaker Competitors

Product Reports

Buyer's Guide

AI Development Platforms

March 2026

Download Amazon Augmented AI product report

Buyer's Guide

Amazon SageMaker

March 2026

Download Amazon SageMaker product report

Also Known As

Amazon A2I

AWS SageMaker, SageMaker

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)

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

Sample Customers

T Mobile, VidMob, Ripcord, NHS BSA

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Buyer's Guide

AI Development Platforms

March 2026

Download Free Report

Find out what your peers are saying about Google, Microsoft, Hugging Face and others in AI Development Platforms. Updated: March 2026.

DOWNLOAD NOW

884,873 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.