We performed a comparison between Alteryx and Anaconda 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."Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"The scheduling feature for the automation is excellent."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The support is very good."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"I like that I can merge data from different sources into one place."
"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."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"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 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 documentation is excellent and the solution has a very large and active community that supports it."
"The virtual environment is very good."
"The solution is stable."
"I can use Anaconda for non-heavy tasks."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"The solution can be quite complex in some aspects."
"The data integration component could most likely be improved to increase enterprise scalability."
"The event handling, such that the file system watcher, is in need of improvement."
"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."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"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 better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"It also takes up a lot of space."
"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."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Anaconda is ranked 13th in Data Science Platforms with 17 reviews. Alteryx is rated 8.4, while Anaconda is rated 8.0. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". Alteryx is most compared with KNIME, Databricks, Dataiku, RapidMiner and Microsoft Power BI, whereas Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and Dataiku. See our Alteryx vs. Anaconda report.
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