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 8.8, while SAP is ranked #26. 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

1,469 Views
1,198 Comparison Views

95% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

298 Views
238 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: March 2025).

Buyer's Guide

Anaconda vs. SAP Predictive Analytics

March 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

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 April 2025, in the Data Science Platforms category, the mindshare of Anaconda is 2.1%, down from 2.2% 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

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 has a lot of functionality available, supports many libraries, and the developers are continually improving it."

"The solution is stable."

"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 virtual environment is very good."

"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."

"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."

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

More Anaconda 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

"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."

"Anaconda can't handle heavy workloads."

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

"When you install Anaconda for the first time, it's really difficult to update it."

"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."

"The solution would benefit from offering more automation."

"Anaconda should be optimized for RAM consumption."

More Anaconda cons

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

Pricing and Cost Advice

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

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

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

"The tool is open-source."

"The licensing costs for Anaconda are reasonable."

"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

20%

Computer Software Company

Manufacturing Company

University

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 does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

See all answers

What needs improvement with Anaconda?

Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

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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

Anaconda

April 2025

Download Anaconda product report

Buyer's Guide

Data Science Platforms

March 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

March 2025

Free Report: Anaconda vs. SAP Predictive Analytics

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