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 7.9, while SAP is ranked #25. Amazon Web Services (AWS) holds a 7.6% 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 36 Amazon SageMaker reviews

7,026 Views
5,578 Comparison Views

91% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

298 Views
255 Comparison Views

100% willing to recommend

Amazon SageMaker

SAP Predictive Analytics

Comparison Buyer's Guide

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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: January 2025).

Buyer's Guide

Amazon SageMaker vs. SAP Predictive Analytics

January 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 (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 February 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 7.6%, down from 9.9% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.4%, down from 0.5% 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.

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 Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."

"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."

"The evolution from SageMaker Classic to SageMaker Studio, particularly the UI part of Studio, is commendable."

"The few projects we have done have been promising."

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

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

"The product aggregates everything we need to build and deploy machine learning models in one place."

More Amazon SageMaker pros

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

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

Cons

"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."

"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

"Lacking in some machine learning pipelines."

"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."

"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."

"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."

"I would recommend having more walkthrough videos and articles beyond AWS Skill Builder."

"The main challenge with Amazon SageMaker is the integrations."

More Amazon SageMaker cons

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

Pricing and Cost Advice

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

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

"The product is expensive."

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

"The solution is relatively cheaper."

"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."

"You don't pay for Sagemaker. You only pay for the compute instances in your storage."

"The tool's pricing is reasonable."

More Amazon SageMaker pricing and cost advice

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

"The pricing is reasonable"

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

14%

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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Compared 25% of the time

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Compared 12% of the time

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Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 56% of the time

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Compared 44% of the time

More SAP Predictive Analytics Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

February 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

January 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: January 2025.

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