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

287 Views
165 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 37 Amazon SageMaker reviews

3,601 Views
2,485 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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June 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 (2nd)

Mindshare comparison

As of June 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.5%, down from 0.5% compared to the previous year. The mindshare of Amazon SageMaker is 5.3%, down from 8.1% 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."

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

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

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

"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."

"We were able to use the product to automate processes."

"We've had no problems with SageMaker's stability."

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

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

More Amazon SageMaker pros

Cons

"The development support, costing twenty-nine dollars per month, is almost ineffective, with long email response times."

"There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers."

"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."

"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

"The product must provide better documentation."

"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."

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

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

"Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker."

"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."

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

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

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

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

"Amazon SageMaker is a very expensive product."

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

"The tool's pricing is reasonable."

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

"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."

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

12%

Manufacturing Company

Educational Organization

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...

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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?

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...

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Comparisons

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Compared 48% of the time

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Compared 14% of the time

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Compared 13% of the time

Azure OpenAI vs Amazon SageMaker

Compared 11% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

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Product Reports

Buyer's Guide

AI Development Platforms

June 2025

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Buyer's Guide

Amazon SageMaker

June 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

June 2025

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