We performed a comparison between Anaconda and IBM SPSS Modeler based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The notebook feature is an improvement over RStudio."
"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 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 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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"It helped us find find the optimal area for where our warehouse should be located."
"The most advantageous feature is the logic building."
"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."
"We have been able to do some predictive modeling with it"
"Automated modelling, classification, or clustering are very useful."
"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"It will scale up to anything we need."
"We are using it either for workforce deployment or to improve our operations."
"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."
"Anaconda should be optimized for RAM consumption."
"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."
"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."
"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."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"We have run into a few problems doing some entity matching/analytics."
"It is not integrated with Qlik, Tableau, and Power BI."
"The forecasting could be a bit easier."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews. Anaconda is rated 7.8, while IBM SPSS Modeler 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 Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx.
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