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 7.7% 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

7,315 Views
5,868 Comparison Views

91% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

315 Views
275 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: January 2025).

Buyer's Guide

Amazon SageMaker vs. SAP Predictive Analytics

January 2025

Download the complete report

Helped 831,265 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 January 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 7.7%, down from 10.0% 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.

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

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

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

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

"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 technical support of the tool was good."

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

"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."

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

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker."

"The user interface (UI) and user experience (UX) of SageMaker and AWS, in general, need improvement as they are not intuitive and require substantial time to learn how to use specific services."

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

"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."

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

"Amazon might need to emphasize its capabilities in generative models more effectively."

"Lacking in some machine learning pipelines."

More Amazon SageMaker cons

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

Pricing and Cost Advice

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

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

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

"The tool's pricing is reasonable."

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

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

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

"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

"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

831,265 professionals have used our research since 2012.

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...

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 25% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Google Vertex AI vs Amazon SageMaker

Compared 10% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

Dataiku vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 52% of the time

IBM SPSS Modeler vs SAP Predictive Analytics

Compared 48% of the time

More SAP Predictive Analytics Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

January 2025

Download Amazon SageMaker product report

Buyer's Guide

Data Science Platforms

January 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.

DOWNLOAD NOW

831,265 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.