We performed a comparison between Alteryx and Anaconda based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The three data signs and data engineering are great features."
"The most valuable feature of Alteryx is user-friendliness."
"The most valuable feature of Alteryx is the intelligence suite."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor."
"It helps clean messy data and provides spatial analysis."
"Alteryx is a simple and easy-to-use solution."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"The virtual environment is very good."
"The solution is stable."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"I can use Anaconda for non-heavy tasks."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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."
"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."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"Alteryx could be improved in the area of analytics and central governance."
"I honestly can't think of anything that needs to be improved."
"Even when it already includes some AI models, this area could be improved."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"The solution would benefit from offering more automation."
"Anaconda can't handle heavy workloads."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"When you install Anaconda for the first time, it's really difficult to update it."
"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 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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Anaconda is ranked 13th in Data Science Platforms with 15 reviews. Alteryx is rated 8.4, while Anaconda is rated 7.8. 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 Data Science Studio, RapidMiner and Microsoft Power BI, whereas Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and Dataiku Data Science Studio.
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