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 #26. Amazon Web Services (AWS) holds a 6.9% mindshare in Data Science Platforms, compared to SAP’s 0.4% 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 37 Amazon SageMaker reviews

6,112 Views
4,892 Comparison Views

91% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

298 Views
238 Comparison Views

100% willing to recommend

Amazon SageMaker

SAP Predictive Analytics

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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: April 2025).

Buyer's Guide

Amazon SageMaker vs. SAP Predictive Analytics

April 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 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 (5th)

SAP Predictive Analytics

Ranking in Data Science Platforms

26th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.9%, down from 9.7% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.4%, 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.

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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.

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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

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

"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."

"The technical support from AWS is excellent."

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

"They are doing a good job of evolving."

"The tool makes our ML model development a bit more efficient because everything is in one environment."

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

"The deployment is very good, where you only need to press a few buttons."

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

"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."

"SageMaker would be improved with the addition of reporting services."

"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."

"The solution needs to be cheaper since it now charges per document for extraction."

"While integration is available, there are concerns about how secure this integration is, particularly when exposing data to SageMaker."

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

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

"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."

More Amazon SageMaker cons

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

Pricing and Cost Advice

"Amazon SageMaker is a very expensive product."

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

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

"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 product is expensive."

"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."

"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."

More Amazon SageMaker pricing and cost advice

"The pricing is reasonable"

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

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Educational Organization

11%

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...

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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?

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

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Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 100% of the time

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Product Reports

Buyer's Guide

Amazon SageMaker

April 2025

Download Amazon SageMaker product report

Buyer's Guide

Data Science Platforms

March 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

April 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: April 2025.

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