We performed a comparison between Anaconda and IBM SPSS Statistics based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The virtual environment is very good."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The solution is stable."
"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."
"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 documentation is excellent and the solution has a very large and active community that supports it."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"It offers very good visualization."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The most valuable feature is the user interface because you don't need to write code."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"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."
"Anaconda can't handle heavy workloads."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"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."
"Anaconda should be optimized for RAM consumption."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"There is a learning curve; it's not very steep, but there is one."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"Better documentation on how to use macros."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews. Anaconda is rated 8.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM Watson Studio, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and KNIME. See our Anaconda vs. IBM SPSS Statistics report.
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