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 #21 with an average rating of 8.0, while Amazon SageMaker is ranked #4 with an average rating of 8.1. Amazon Augmented AI holds a 1.1% mindshare in AIDP, compared to Amazon SageMaker’s 3.7% 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

511 Views
506 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,285 Views
2,703 Comparison Views

91% willing to recommend

Amazon Augmented AI

Amazon SageMaker

Comparison Buyer's Guide

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Executive Summary

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

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AI Development Platforms

February 2026

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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

21st

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 February 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 3.7%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Market Share Distribution
Product	Market Share (%)
Amazon SageMaker	3.7%
Amazon Augmented AI	1.1%
Other	95.2%

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…

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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 few projects we have done have been promising."

"The technical support from AWS is excellent."

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

"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."

"I appreciate the ease of use in Amazon SageMaker."

"The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook."

"The feature I found most valuable is the data catalog, as it assists with the lineage of data through the preparation pipeline."

"The technical support of the tool was good."

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."

"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."

"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."

"AI is a new area and AWS needs to have an internship training program available."

"The main challenge with Amazon SageMaker is the integrations."

"There is room for improvement in the collaboration with serverless architecture, particularly integration with AWS Lambda."

"The solution requires a lot of data to train the model."

"Lacking in some machine learning pipelines."

"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

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

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

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

"The product is expensive."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."

"I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."

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

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

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing 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...

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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...

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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...

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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...

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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

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Compared 8% of the time

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Compared 6% of the time

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Product Reports

Buyer's Guide

AI Development Platforms

February 2026

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Buyer's Guide

Amazon SageMaker

February 2026

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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

February 2026

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