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 #16 with an average rating of 8.0, while Amazon SageMaker is ranked #5 with an average rating of 8.0. Amazon Augmented AI holds a 0.5% mindshare in AIDP, compared to Amazon SageMaker’s 5.6% 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

307 Views
246 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 36 Amazon SageMaker reviews

4,140 Views
3,302 Comparison Views

91% willing to recommend

Amazon Augmented AI

Amazon SageMaker

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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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March 2025

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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

16th

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

5th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

Mindshare comparison

As of April 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.5%, down from 0.6% compared to the previous year. The mindshare of Amazon SageMaker is 5.6%, down from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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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Hemant Paralkar

Lead Consultant at Saama

Improves team collaboration with advanced feature sharing but needs a better user experience

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. Additionally, dealing with frequent UI updates can be challenging, especially for infrastructure architects like myself. It involves effort to migrate to new UIs, making the updates not seamless. User auditing requires enhancements as tracking operations performed by users can be difficult due to dynamic IP validation and role propagation.

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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."

"SageMaker is a comprehensive platform where I can perform all machine learning activities."

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

"The support is very good with well-trained engineers whose training curriculum is rigorous."

"The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities."

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

"The most valuable features are the ability to store artifacts and gather reports and measures from experiments."

"I recommend SageMaker for ML projects if you need to build models from scratch."

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

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."

"There are other better solutions for large data, such as Databricks."

"Amazon SageMaker can make it simpler to manage the data flow from start to finish, such as by integrating data, usingthe machine, and deploying models. This process could be more user-friendly compared to other tools. I would also like to improve integration with Bedrock and the LLM connection for AWS."

"One area where Amazon SageMaker could improve is its pricing. The high costs can drive companies to explore other cloud options. Additionally, while generally good, the updates sometimes come with bugs, and the documentation could be much better. More examples and clearer guidance would be helpful."

"The solution needs to be cheaper since it now charges per document for extraction."

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

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

"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."

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

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"The tool's pricing is reasonable."

"SageMaker is worth the money for our use case."

"The pricing could be better, especially for querying. The per-query model feels expensive."

"Amazon SageMaker is a very expensive product."

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

"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."

"Databricks solution is less costly than Amazon SageMaker."

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

19%

Educational Organization

11%

Computer Software Company

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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...

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

Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.

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Comparisons

Microsoft Azure Machine Learning Studio vs Amazon Augmented AI

Compared 50% of the time

Google Cloud AI Platform vs Amazon Augmented AI

Compared 15% of the time

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Databricks vs Amazon SageMaker

Compared 17% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 9% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

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Product Reports

Buyer's Guide

AI Development Platforms

March 2025

Download Amazon Augmented AI product report

Buyer's Guide

Amazon SageMaker

April 2025

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 2025

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