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Anaconda vs IBM SPSS Statistics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Anaconda
Ranking in Data Science Platforms
11th
Average Rating
8.2
Number of Reviews
18
Ranking in other categories
No ranking in other categories
IBM SPSS Statistics
Ranking in Data Science Platforms
10th
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
 

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of Anaconda is 2.1%, down from 2.3% compared to the previous year. The mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Rohan Sharma - PeerSpot reviewer
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.
AbakarAhmat - PeerSpot reviewer
Enhancing survey analysis that provides valued insightfulness
I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"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."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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 software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"It is a modeling tool with helpful automation."
"It has the ability to easily change any variable in our research."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"It offers very good visualization."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
 

Cons

"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda consumes a significant amount of processing memory when working on it."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The solution would benefit from offering more automation."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"The solution needs to improve forecasting using time series analysis."
"The technical support should be improved."
"This solution is not suitable for use with Big Data."
"IBM SPSS Statistics does not keep you close to your data like KNIME."
"The reports could be better."
"The statistics should be more self-explanatory with detailed automated reports."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
 

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 licensing costs for Anaconda are reasonable."
"The tool is open-source."
"The product is open-source and free to use."
"More affordable training for new staff members."
"We think that IBM SPSS is expensive for this function."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"I rate the tool's pricing a five out of ten."
"It's quite expensive, but they do a special deal for universities."
"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Government
9%
University
9%
Financial Services Firm
17%
University
9%
Computer Software Company
9%
Manufacturing Company
8%
 

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.
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.
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.
What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive product, despite being good.
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the resulting file and annotate your trail of evidence. It takes you further from your dat...
 

Also Known As

No data available
SPSS Statistics
 

Learn More

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Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Find out what your peers are saying about Anaconda vs. IBM SPSS Statistics and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.