Anaconda vs IBM SPSS Modeler comparison

Cancel
You must select at least 2 products to compare!
Anaconda Logo
5,942 views|4,747 comparisons
IBM Logo
5,880 views|4,832 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and IBM SPSS Modeler based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: November 2022).
653,584 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

More Anaconda Pros →

"It's a very organized product. It's easy to use.""The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well.""The supervised models are valuable. It is also very organized and easy to use."

More IBM SPSS Modeler Pros →

Cons
"Anaconda should be optimized for RAM consumption."

More Anaconda Cons →

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way.""Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler.""The time series should be improved."

More IBM SPSS Modeler Cons →

Pricing and Cost Advice
Information Not Available
  • "Its price is okay for a company, but for personal use, it is considered somewhat expensive."
  • "I am using the free version of IBM SPSS Modeler, it is the educational edition version."
  • More IBM SPSS Modeler Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    653,584 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer:The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of… more »
    Top Answer:In Anaconda, we get everything: RStudio, Spyder, and Jupyter. R Studio is for R, and Spyder and Jupyter are for Python. Using these, we will be doing data wrangling and data modeling for a developing… more »
    Top Answer:The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune… more »
    Top Answer:I am using the free version of IBM SPSS Modeler, it is the educational edition version.
    Top Answer:Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler.
    Ranking
    10th
    Views
    5,942
    Comparisons
    4,747
    Reviews
    1
    Average Words per Review
    151
    Rating
    9.0
    8th
    Views
    5,880
    Comparisons
    4,832
    Reviews
    3
    Average Words per Review
    658
    Rating
    9.0
    Comparisons
    Also Known As
    SPSS Modeler
    Learn More
    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

    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


    Offer
    Learn more about Anaconda
    Learn more about IBM SPSS Modeler
    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
    Top Industries
    REVIEWERS
    Financial Services Firm20%
    Manufacturing Company20%
    Non Tech Company10%
    Pharma/Biotech Company10%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Comms Service Provider11%
    Government9%
    REVIEWERS
    University24%
    Financial Services Firm17%
    Manufacturing Company10%
    Government10%
    VISITORS READING REVIEWS
    Comms Service Provider17%
    Computer Software Company14%
    Educational Organization12%
    Government8%
    Company Size
    REVIEWERS
    Small Business44%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business22%
    Midsize Enterprise8%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise65%
    Buyer's Guide
    Data Science Platforms
    November 2022
    Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: November 2022.
    653,584 professionals have used our research since 2012.

    Anaconda is ranked 10th in Data Science Platforms with 1 review while IBM SPSS Modeler is ranked 8th in Data Science Platforms with 3 reviews. Anaconda is rated 9.0, while IBM SPSS Modeler is rated 9.0. The top reviewer of Anaconda writes "Supported by multiple IDEs, easy to install and manage packages". On the other hand, the top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Anaconda is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Databricks, Cloudera Data Science Workbench and IBM Watson Studio, whereas IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, Microsoft BI, Alteryx and Databricks.

    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.