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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The most advantageous feature is the logic building."
"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."
"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."
"It helped us find find the optimal area for where our warehouse should be located."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"It has the ability to easily change any variable in our research."
"The most valuable feature is its robust statistical analysis capabilities."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"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."
"It is a modeling tool with helpful automation."
"It offers very good visualization."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"Most of the product features are good but I particularly like the linear regression analysis."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"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 solution would benefit from offering more automation."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"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."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"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."
"The solution needs to improve forecasting using time series analysis."
"It could provide even more in the way of automation as there are many opportunities."
"Needs more statistical modelling functions."
"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."
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, Weka and Amazon SageMaker. See our Anaconda vs. IBM SPSS Statistics report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.