Amazon SageMaker vs SAP Predictive Analytics comparison

Amazon Web Services (AWS) and SAP are both solutions in the Data Science Platforms category. Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0, while SAP is ranked #25. Amazon Web Services (AWS) holds a 7.5% mindshare in Data Science Platforms, compared to SAP’s 0.3% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Amazon SageMaker

Read 36 Amazon SageMaker reviews

6,544 Views
5,235 Comparison Views

91% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

302 Views
245 Comparison Views

100% willing to recommend

Amazon SageMaker

SAP Predictive Analytics

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

SAP Predictive Analytics and Amazon SageMaker are competing in the analytics solutions category. Amazon SageMaker has a competitive advantage due to its computational flexibility and AWS integration, whereas its machine learning features are particularly notable.

Features: SAP Predictive Analytics focuses on data integration, automation, and predictive modeling tools within enterprise systems. These are particularly useful for SAP ecosystem users. Amazon SageMaker enhances machine learning workflows, provides a comprehensive suite for developing, training, and deploying ML models, and supports proprietary ML projects effectively.

Ease of Deployment and Customer Service: SAP Predictive Analytics integrates seamlessly into existing SAP solutions, with straightforward deployment for SAP users and robust customer service familiar to enterprise clients. Amazon SageMaker offers intuitive deployment within AWS, extensive documentation, and support that caters to cloud-native solution preferences.

Pricing and ROI: SAP Predictive Analytics requires a significant initial setup cost but offers competitive ROI when integrated into SAP systems. Amazon SageMaker, with its pay-as-you-go pricing, provides a flexible cost structure that can lead to faster ROI, especially for AWS installations. Initial costs might be lower with SageMaker, contingent on existing infrastructure investments.

To learn more, read our detailed Amazon SageMaker vs. SAP Predictive Analytics Report (Updated: March 2025).

Buyer's Guide

Amazon SageMaker vs. SAP Predictive Analytics

March 2025

Download the complete report

Helped 842,592 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 Data Science Platforms

3rd

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (4th)

SAP Predictive Analytics

Ranking in Data Science Platforms

25th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 7.5%, down from 9.9% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.3%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Hemant Paralkar

Lead Consultant at Saama

Improves team collaboration with advanced feature sharing but needs a better user experience

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. Additionally, dealing with frequent UI updates can be challenging, especially for infrastructure architects like myself. It involves effort to migrate to new UIs, making the updates not seamless. User auditing requires enhancements as tracking operations performed by users can be difficult due to dynamic IP validation and role propagation.

Read full review

Gary Cook

Executive at Empowered Analytics

Enables us to forecast and pull trends and has an easy installation

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

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 SageMaker is SageMaker Studio."

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

"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."

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

"One of the most valuable features of Amazon SageMaker for me is the one-touch deployment, which simplifies the process greatly."

"The most valuable feature of Amazon SageMaker for me is the model deployment service."

"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."

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

More Amazon SageMaker pros

"The most valuable features are the analytics and reporting."

"I think the features of the actual ability to forecast and pull trends and correlations has been really good."

Cons

"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."

"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."

"The documentation must be made clearer and more user-friendly."

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

"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."

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

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

"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."

More Amazon SageMaker cons

"This solution works for acquired data but not live, real-time data."

Pricing and Cost Advice

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

"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 solution is relatively cheaper."

"The tool's pricing is reasonable."

"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."

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

"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."

More Amazon SageMaker pricing and cost advice

"The pricing is reasonable"

"A free trial version is available for testing out this solution."

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

842,592 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Educational Organization

13%

Computer Software Company

11%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.

See all answers

Ask a question

Earn 20 points

Comparisons

Databricks vs Amazon SageMaker

Compared 20% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 9% of the time

Google Vertex AI vs Amazon SageMaker

Compared 9% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 100% of the time

More SAP Predictive Analytics Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

March 2025

Download Amazon SageMaker product report

Buyer's Guide

Data Science Platforms

February 2025

Download SAP Predictive Analytics product report

Also Known As

AWS SageMaker, SageMaker

SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA

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)

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

SAP

Sample Customers

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

mBank

Buyer's Guide

Amazon SageMaker vs. SAP Predictive Analytics

March 2025

Free Report: Amazon SageMaker vs. SAP Predictive Analytics

Find out what your peers are saying about Amazon SageMaker vs. SAP Predictive Analytics and other solutions. Updated: March 2025.

DOWNLOAD NOW

842,592 professionals have used our research since 2012.

See our Amazon SageMaker vs. SAP Predictive Analytics report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.