We performed a comparison between Anaconda and XLCubed based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The documentation is excellent and the solution has a very large and active community that supports it."
"The virtual environment is very good."
"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."
"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."
"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."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."
"Great capability, performance, flexibility, visuals, and the solution is also very cost effective."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"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."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"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."
"There should be a better or an easier way to establish that connection to external sources."
"Would like the ability to be able to benchmark."
Earn 20 points
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while XLCubed is ranked 26th in Reporting. Anaconda is rated 8.0, while XLCubed is rated 7.6. 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 XLCubed writes "Cost effective with great capability, performance, flexibility and visuals". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas XLCubed is most compared with Microsoft Power BI and Tableau.
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