Anaconda vs SAP Predictive Analytics comparison

Anaconda and SAP are both solutions in the Data Science Platforms category. Anaconda is ranked #11 with an average rating of 8.7, while SAP is ranked #27. Anaconda holds a 2.1% mindshare in Data Science Platforms, compared to SAP’s 0.4% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Anaconda

Read 19 Anaconda reviews

1,259 Views
324 Comparison Views

95% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

288 Views
88 Comparison Views

100% willing to recommend

Anaconda

SAP Predictive Analytics

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Executive SummaryUpdated on Dec 5, 2024

Anaconda and SAP Predictive Analytics compete in the data analysis sector. Anaconda has the upper hand in cost-effectiveness and community-supported flexibility, while SAP Predictive Analytics dominates in feature depth and enterprise integration.

Features: Anaconda offers flexible data science tools, extensive package support, and is optimal for Python and R environments. SAP Predictive Analytics provides advanced automation and seamless SAP system integration, enhancing data processing and visualization.

Ease of Deployment and Customer Service:Anaconda enables straightforward deployment in Python or R-friendly setups with community support. SAP Predictive Analytics provides structured customer service, aiding in complex enterprise implementations.

Pricing and ROI: Anaconda's open-source model is cost-effective, offering high ROI for adaptable projects. SAP Predictive Analytics requires more initial investment but provides significant ROI for enterprise-scale solutions.

To learn more, read our detailed Anaconda vs. SAP Predictive Analytics Report (Updated: June 2025).

Buyer's Guide

Anaconda vs. SAP Predictive Analytics

June 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

Anaconda

Ranking in Data Science Platforms

11th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Predictive Analytics

Ranking in Data Science Platforms

27th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Anaconda is 2.1%, up from 2.1% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

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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

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"I can use Anaconda for non-heavy tasks."

"The most valuable feature is the set of libraries that are used to support the functionality that we require."

"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."

"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."

"The most advantageous feature is the logic building."

"The documentation is excellent and the solution has a very large and active community that supports it."

More Anaconda 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

"Anaconda consumes a significant amount of processing memory when working on it."

"The interface could be improved. Other solutions, like Visual Studio, have much better UI."

"Anaconda should be optimized for RAM consumption."

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

"The solution would benefit from offering more automation."

"Having a small guide or video on the tool would help learn how to use it and what the features are."

"Anaconda can't handle heavy workloads."

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

More Anaconda cons

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

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."

"The product is open-source and free to use."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"The tool is open-source."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"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

20%

Computer Software Company

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

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What is your experience regarding pricing and costs for Anaconda?

Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.

See all answers

What needs improvement with Anaconda?

There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.

See all answers

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Comparisons

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Amazon SageMaker vs Anaconda

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs Anaconda

Compared 7% of the time

MathWorks Matlab vs Anaconda

Compared 5% of the time

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Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 54% of the time

H2O.ai vs SAP Predictive Analytics

Compared 46% of the time

More SAP Predictive Analytics Competitors

Product Reports

Buyer's Guide

Anaconda

June 2025

Download Anaconda product report

Buyer's Guide

Data Science Platforms

June 2025

Download SAP Predictive Analytics product report

Also Known As

No data available

SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA

Overview

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Anaconda

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

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

mBank

Buyer's Guide

Anaconda vs. SAP Predictive Analytics

June 2025

Free Report: Anaconda vs. SAP Predictive Analytics

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