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53 Ratings
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146 Ratings
53 Ratings
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Score 8.6 out of 101

IBM SPSS

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Score 8.3 out of 101

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

IBM SPSS

SPSS is most suited for most researchers, although for power size and other uses will require further purchases or use of other programs to account for the limitations that SPSS might have. It can handle heavy data and there should not be any limitations for multiple variables. It may not be suited for those looking for a more robust and programmable option. Also, for those on a budget, other sources like R-Statistics might be better suited.
Craig West profile photo

Feature Rating Comparison

Platform Connectivity

Anaconda
6.7
IBM SPSS
Connect to Multiple Data Sources
Anaconda
9.0
IBM SPSS
Extend Existing Data Sources
Anaconda
8.0
IBM SPSS
Automatic Data Format Detection
Anaconda
3.0
IBM SPSS

Data Exploration

Anaconda
7.7
IBM SPSS
Visualization
Anaconda
8.0
IBM SPSS
Interactive Data Analysis
Anaconda
7.3
IBM SPSS

Data Preparation

Anaconda
7.4
IBM SPSS
Interactive Data Cleaning and Enrichment
Anaconda
8.0
IBM SPSS
Data Transformations
Anaconda
8.7
IBM SPSS
Data Encryption
Anaconda
6.0
IBM SPSS
Built-in Processors
Anaconda
7.0
IBM SPSS

Platform Data Modeling

Anaconda
7.9
IBM SPSS
Multiple Model Development Languages and Tools
Anaconda
9.0
IBM SPSS
Automated Machine Learning
Anaconda
6.5
IBM SPSS
Single platform for multiple model development
Anaconda
8.3
IBM SPSS
Self-Service Model Delivery
Anaconda
7.7
IBM SPSS

Model Deployment

Anaconda
7.0
IBM SPSS
Flexible Model Publishing Options
Anaconda
7.4
IBM SPSS
Security, Governance, and Cost Controls
Anaconda
6.7
IBM SPSS

Pros

Anaconda

  • Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
  • Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
  • Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.
Matthew Deakyne profile photo

IBM SPSS

  • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
  • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
  • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
  • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
  • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
Benjamin Plotkin profile photo

Cons

Anaconda

  • Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
  • Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
  • Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
  • If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.
No photo available

IBM SPSS

  • SPSS has for a long time touted it's "new and improved" graphing capabilities, and while they are that, they still have flexibility issues (or I just haven't found how to correctly use the software). For instance, why are data labels in a bar chart restricted to appearing only within the bar itself? Sure, you can have them at the bottom, middle, or near the top of the bar, but why not, say, just above the bar?
  • When dealing with qualitative data, say comments from survey respondents, occasionally we run into characters likely typed by the respondent, which SPSS doesn't know how to handle, so it converts it to a space. It took me a while to figure out that it wasn't a space at all, and was wondering why my Syntax wasn't working (still assuming it was a space). It would help if SPSS could convert unknown characters to something more obvious.
  • Biggest headache using SPSS is dealing with the IBM hierarchy when needing customer support or even upgrading to the new version (which comes out annually). In order to upgrade to v26 in April 2019, I eventually found out I needed not just an Authorization Code, nor a Full License Code, but also a Lock Code and spent way too many hours attempting to straighten this out with IBM customer support. I handle purchasing the upgrades too, and that task is not straightforward either. I miss the SPSS support before they were acquired by IBM.
Chris Keran profile photo

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne profile photo

IBM SPSS

IBM SPSS 9.4
Based on 15 answers
It's super easy to use for newbies and super powerful for power users! It does EVERYTHING you are usually asked to do analytically. Their Help Desk is PHENOMENAL. And I find the upgrade and renewal price to be a good deal.
Lance Huntley profile photo

Usability

Anaconda

Anaconda 8.0
Based on 1 answer
It's really good at installing and getting started. It's less usable and configurable after that. If you stay in the ecosystem, and don't know how to Python any other way - it works really well.
Matthew Deakyne profile photo

IBM SPSS

IBM SPSS 6.7
Based on 9 answers
SPSS is beginner friendly and user-friendly for beginner analysts and simple statistical tests. It's "click and go" interface does take some learning, but overall this is much easier than other programs I have used and seen. Compared to SAS software, SPSS takes a great deal less familiarizing and it not a matter of learning a coding language like SAS and RStudio.
Julie Ressalam, MPH profile photo

Reliability and Availability

Anaconda

No score
No answers yet
No answers on this topic

IBM SPSS

IBM SPSS 6.0
Based on 1 answer
SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
No photo available

Performance

Anaconda

No score
No answers yet
No answers on this topic

IBM SPSS

IBM SPSS 6.0
Based on 1 answer
SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
No photo available

Support

Anaconda

Anaconda 8.0
Based on 1 answer
Prompt response.
No photo available

IBM SPSS

IBM SPSS 5.3
Based on 5 answers
I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
No photo available

Implementation

Anaconda

No score
No answers yet
No answers on this topic

IBM SPSS

IBM SPSS 5.4
Based on 4 answers
Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
Rebecca T Barber, MBA, PHD profile photo

Alternatives Considered

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega profile photo

IBM SPSS

Other software that I can compare to SPSS include R, Excel and SAS. Overall, SPSS is easier to get familiar with and more user friendly which is why I can see it as more appropriate for taught courses. The computational capabilities are not similar to R, but on the other hand it is simpler to use. Excel is much more time consuming in any scenario deriving from the very basics of statistical analysis.
No photo available

Scalability

Anaconda

No score
No answers yet
No answers on this topic

IBM SPSS

IBM SPSS 5.0
Based on 1 answer
I am neutral because I have not had to look into scalability since I am using as a student.
No photo available

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
No photo available

IBM SPSS

  • IBM SPSS has allowed me to quickly analyze data for research.
  • IBM SPSS has allowed me to complete analyses in order to submit research findings to conferences and complete manuscripts.
  • IBM SPSS has enabled me to meet research objectives set out in grant proposals.
Ariana Tart-Zelvin profile photo

Pricing Details

Anaconda

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

IBM SPSS

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Anaconda
8.5
IBM SPSS
8.5

Likelihood to Renew

Anaconda
7.0
IBM SPSS
9.4

Usability

Anaconda
8.0
IBM SPSS
6.7

Reliability and Availability

Anaconda
IBM SPSS
6.0

Performance

Anaconda
IBM SPSS
6.0

Support

Anaconda
8.0
IBM SPSS
5.3

Implementation

Anaconda
IBM SPSS
5.4

Scalability

Anaconda
IBM SPSS
5.0

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