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."
"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."
"I can use Anaconda for non-heavy tasks."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"The solution is stable."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The most valuable feature is its robust statistical analysis capabilities."
"It is a modeling tool with helpful automation."
"Most of the product features are good but I particularly like the linear regression analysis."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"in terms of the simplicity, I think the SPSS basic can handle it."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"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."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"It also takes up a lot of space."
"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."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"There is a learning curve; it's not very steep, but there is one."
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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