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Amazon Augmented AI vs Amazon SageMaker comparison

 

Comparison Buyer's Guide

Executive Summary

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
17th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
1
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
38
Ranking in other categories
Data Science Platforms (2nd)
 

Mindshare comparison

As of October 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.6%, up from 0.4% compared to the previous year. The mindshare of Amazon SageMaker is 4.9%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
Amazon SageMaker4.9%
Amazon Augmented AI0.6%
Other94.5%
AI Development Platforms
 

Featured Reviews

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…
Saurabh Jaiswal - PeerSpot reviewer
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.

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 feature of Amazon Augmented AI is its automation capability."
"The few projects we have done have been promising."
"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."
"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."
"We've had no problems with SageMaker's stability."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The technical support of the tool was good."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
 

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."
"I would recommend having more walkthrough videos and articles beyond AWS Skill Builder."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"The solution is complex to use."
"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."
"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."
"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."
"One area for improvement is the pricing, which can be quite high."
"The dashboard could be improved by including more features and providing more information about deployed models, their drift, performance, scaling, and customization options."
 

Pricing and Cost Advice

Information not available
"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."
"The product is expensive."
"The pricing is comparable."
"The tool's pricing is reasonable."
"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."
"Amazon SageMaker is a very expensive product."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
9%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise11
Large Enterprise16
 

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...
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...
What is your primary use case for Amazon Augmented AI?
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 ...
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...
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...
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.
 

Also Known As

Amazon A2I
AWS SageMaker, SageMaker
 

Overview

 

Sample Customers

T Mobile, VidMob, Ripcord, NHS BSA
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms. Updated: September 2025.
868,706 professionals have used our research since 2012.