Anaconda vs IBM SPSS Modeler comparison

Anaconda and IBM are both solutions in the Data Science Platforms category. Anaconda is ranked #12 with an average rating of 8.7, while IBM is ranked #13 with an average rating of 6.8. Anaconda holds a 2.1% mindshare in Data Science Platforms, compared to IBM’s 2.4% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Anaconda

Read 19 Anaconda reviews

1,375 Views
1,124 Comparison Views

95% willing to recommend

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

1,698 Views
1,397 Comparison Views

86% willing to recommend

Anaconda

IBM SPSS Modeler

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and Anaconda are both players in the data science and machine learning platform category. IBM SPSS Modeler has the advantage in user-friendliness and comprehensive support, while Anaconda is preferred for its rich feature set and cost-effectiveness.

Features: IBM SPSS Modeler provides tailored predictive analytics and easy integration with the IBM ecosystem. It facilitates a streamlined analysis process with pre-built models and advanced statistical functions. Anaconda supports numerous machine learning libraries, offers high customization, and is adaptable for complex data projects, thanks to extensive open-source language support.

Room for Improvement: IBM SPSS Modeler can enhance its visual modeling capabilities and integration with third-party visualization tools. More focus on modern governance and security features would be beneficial, as well as increasing the flexibility of automation capabilities. Anaconda could improve by optimizing its GUI for users less familiar with coding, offering more built-in analytics models, and refining the management of environments for a smoother user experience.

Ease of Deployment and Customer Service: IBM SPSS Modeler boasts easy deployment processes and comprehensive customer service for enterprises. Its integration with existing systems is facilitated by dedicated support. Anaconda presents a straightforward installation but leans more towards community-driven assistance, offering flexibility in deployment with less emphasis on official customer service.

Pricing and ROI: IBM SPSS Modeler involves a high initial setup cost but promises significant ROI through efficient analytics operations. Anaconda, being open-source, provides a cost-effective alternative for businesses, supporting better long-term ROI with reduced licensing fees when leveraging open-source solutions.

To learn more, read our detailed Anaconda vs. IBM SPSS Modeler Report (Updated: April 2025).

Buyer's Guide

Anaconda vs. IBM SPSS Modeler

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

Anaconda

Ranking in Data Science Platforms

12th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM SPSS Modeler

Ranking in Data Science Platforms

13th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

Mindshare comparison

As of May 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 IBM SPSS Modeler is 2.4%, down from 2.7% 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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PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

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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 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."

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

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

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

"The most advantageous feature is the logic building."

"The notebook feature is an improvement over RStudio."

"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."

More Anaconda pros

"It works fine. I have not had any stability issues; it is always up."

"It is a great product for running statistical analysis."

"Some basic form of feature engineering for classification models. This really quickens the model development process."

"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."

"So far, the stability has been rock solid."

"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."

"It is pretty scalable."

"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."

More IBM SPSS Modeler pros

Cons

"Anaconda should be optimized for RAM consumption."

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

"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."

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

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

"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."

"It also takes up a lot of space."

"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."

More Anaconda cons

"Unstructured data is not appropriate for SPSS Modeler."

"The product does not have a search function for tags."

"There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

"I can say the solution is outdated."

"The challenge for the very technical data scientists: It is constraining for them."

"The time series should be improved."

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."

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

"It is a huge increase to time savings."

"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"$5,000 annually."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

Government

Manufacturing Company

Financial Services Firm

13%

Educational Organization

11%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

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Product Reports

Buyer's Guide

Anaconda

May 2025

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Buyer's Guide

IBM SPSS Modeler

April 2025

Download IBM SPSS Modeler product report

Also Known As

No data available

SPSS Modeler

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

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

Sample Customers

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

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Buyer's Guide

Anaconda vs. IBM SPSS Modeler

April 2025

Free Report: Anaconda vs. IBM SPSS Modeler

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