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 5.3% 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

279 Views
276 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 38 Amazon SageMaker reviews

7,896 Views
3,316 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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July 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

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

Mindshare comparison

As of July 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.5%, up from 0.5% compared to the previous year. The mindshare of Amazon SageMaker is 5.3%, down from 7.6% 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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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 ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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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."

"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 these models, making accessing them convenient as needed."

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

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

"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."

"The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use."

"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."

"It's user-friendly for business teams as they can understand many aspects through the AWS interface."

"Allows you to create API endpoints."

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."

"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."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker."

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

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

"The entry point can be a bit difficult. Having all documentation easily accessible on the front page of SageMaker would be a great improvement."

"For any cloud provider, the cost has to be substantially reduced, especially in the case of Amazon SageMaker, which is extremely expensive for huge workloads."

"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."

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

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."

"Databricks solution is less costly than Amazon SageMaker."

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

"Amazon SageMaker is a very expensive product."

"The tool's pricing is reasonable."

"The pricing is comparable."

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

19%

Computer Software Company

11%

Manufacturing Company

University

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...

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?

The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...

See all answers

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Product Reports

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AI Development Platforms

July 2025

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Buyer's Guide

Amazon SageMaker

July 2025

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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

July 2025

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