Amazon SageMaker vs Prem Studio comparison

Amazon Web Services (AWS) and Prem are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #4 with an average rating of 8.1, while Prem is ranked #18 with an average rating of 10.0. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Prem users who would recommend it.

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,186 Views
2,722 Comparison Views

91% willing to recommend

Prem Studio

Read 2 Prem Studio reviews

167 Views
89 Comparison Views

100% willing to recommend

Amazon SageMaker

Prem Studio

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon SageMaker and Prem Studio based on real PeerSpot user reviews.

Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon SageMaker vs. Prem Studio Report (Updated: December 2025).

Buyer's Guide

Amazon SageMaker vs. Prem Studio

December 2025

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Helped 881,082 peers since 2012

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 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)

Prem Studio

Ranking in AI Development Platforms

18th

Average Rating

10.0

Reviews Sentiment

1.0

Number of Reviews

Ranking in other categories

AI Software Development (22nd)

Featured Reviews

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.

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reviewer2760291

Head of AI at a consultancy with 1,001-5,000 employees

Has accelerated AI solution development through automated evaluation and fine-tuning

Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems. Prem Studio has a straightforward yet powerful approach to evaluate disparate AI architectures on our business problems and to accurately fine-tune the most promising ones. This significantly reduced time-to-market, almost by a factor of ten in my case, for solutions tailored and optimized for customer requirements and KPIs.

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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

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

"The technical support from AWS is excellent."

"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."

"I have seen a return on investment, probably a factor of four or five."

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

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

"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 most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models."

More Amazon SageMaker pros

"The dataset management feature and the managed finetuning are the most valuable because they save the most time."

Cons

"The product must provide better documentation."

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

"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."

"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. This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background."

"Lacking in some machine learning pipelines."

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

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

More Amazon SageMaker cons

"The inference should be faster."

Pricing and Cost Advice

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

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

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

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

"The product is expensive."

"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."

"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."

More Amazon SageMaker pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	11
Large Enterprise	17

No data available

Questions from the Community

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?

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

What is your experience regarding pricing and costs for Prem Studio?

Evaluations can be costly.

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What needs improvement with Prem Studio?

The inference should be faster.

See all answers

What is your primary use case for Prem Studio?

I use Prem Studio to finetune LLM models so that they answer the way I want.

See all answers

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Compared 8% of the time

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Compared 6% of the time

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Compared 6% of the time

More Amazon SageMaker Competitors

No data available

Product Reports

Buyer's Guide

Amazon SageMaker

January 2026

Download Amazon SageMaker product report

Buyer's Guide

AI Development Platforms

January 2026

Download Prem Studio product report

Also Known As

AWS SageMaker, SageMaker

No data available

Overview

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)

Information not available

Prem

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Information Not Available

Buyer's Guide

Amazon SageMaker vs. Prem Studio

December 2025

Free Report: Amazon SageMaker vs. Prem Studio

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