Anonymous UserContracts Manager at a program development consultancy
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It helped us find find the optimal area for where our warehouse should be located."
"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 solution is stable."
"The notebook feature is an improvement over RStudio."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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."
"The virtual environment is very good."
"Very good data aggregation."
"It is a great product for running statistical analysis."
"Automation is great and this product is very organized."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"The supervised models are valuable. It is also very organized and easy to use."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The solution would benefit from offering more automation."
"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."
"Requires more development."
"It would be good if IBM added help resources to the interface."
"Dimension reduction should be classified separately."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"The licensing costs for Anaconda are reasonable."
"The product is open-source and free to use."
"This tool, being an IBM product, is pretty expensive."
"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.
Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.
Anaconda is ranked 7th in Data Science Platforms with 12 reviews while IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews. Anaconda is rated 7.8, while IBM SPSS Modeler is rated 8.4. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". On the other hand, the top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". Anaconda is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Microsoft BI, whereas IBM SPSS Modeler is most compared with IBM SPSS Statistics, Alteryx, KNIME, IBM Watson Studio and MathWorks Matlab. See our Anaconda vs. IBM SPSS Modeler 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.