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

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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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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…

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

"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."

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

"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."

"The deployment is very good, where you only need to press a few buttons."

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

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

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."

"They could add features such as managing environments, experiment management across those environments, and the integration with training datasets as you go through those experiments."

"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."

"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."

"One area for improvement is the pricing, which can be quite high."

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

"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 solution is complex to use."

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

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"The pricing is comparable."

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

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

"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."

"The solution is relatively cheaper."

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

"On average, customers pay about $300,000 USD per month."

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

More Amazon SageMaker pricing and cost advice

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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...

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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

Comparisons

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Compared 23% of the time

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Compared 22% of the time

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Compared 19% of the time

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Compared 15% of the time

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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

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Product Reports

Buyer's Guide

AI Development Platforms

March 2026

Download Amazon Augmented AI product report

Buyer's Guide

Amazon SageMaker

March 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

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March 2026

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