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."It helped us find find the optimal area for where our warehouse should be located."
"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 has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"I can use Anaconda for non-heavy tasks."
"The notebook feature is an improvement over RStudio."
"The virtual environment is very good."
"SPSS is quite robust and quicker in terms of providing you the output."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The most valuable feature is its robust statistical analysis capabilities."
"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 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."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"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."
"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."
"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."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"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."
"Better documentation on how to use macros."
"This solution is not suitable for use with Big Data."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while IBM SPSS Statistics is ranked 8th 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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