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."The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"It is efficient in optimizing our ability to get information."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"The product's Macros probably are one of the most useful aspects."
"The cloud deployment ensures it scales easily."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"It helps clean messy data and provides spatial analysis."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"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."
"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."
"When a process completes there is a notification, but the notification does not include the process's name."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"The interface could be improved."
"The price of the solution could improve by being lower."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"It seems to me that it is not always user friendly."
"The event handling, such that the file system watcher, is in need of improvement."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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 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."
"It also takes up a lot of space."
"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."
"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."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
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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