We performed a comparison between Anaconda and IBM SPSS Statistics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The notebook feature is an improvement over RStudio."
"The most advantageous feature is the logic building."
"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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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 virtual environment is very good."
"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."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"You can quickly build models because it does the work for you."
"The most valuable feature is its robust statistical analysis capabilities."
"It offers very good visualization."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The solution would benefit from offering more automation."
"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 should be optimized for RAM consumption."
"When you install Anaconda for the first time, it's really difficult to update it."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"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."
"There is a learning curve; it's not very steep, but there is one."
"The technical support should be improved."
"The solution needs more planning tools and capabilities."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"The reports could be better."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews. Anaconda is rated 7.8, 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 Dataiku Data Science Studio.
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