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."It helped us find find the optimal area for where our warehouse should be located."
"I can use Anaconda for non-heavy tasks."
"The virtual environment is very good."
"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 product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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 notebook feature is an improvement over RStudio."
"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."
"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."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"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."
"Anaconda can't handle heavy workloads."
"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 solution would benefit from offering more automation."
"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."
"Would like the ability to be able to benchmark."
"There should be a better or an easier way to establish that connection to external sources."
Earn 20 points
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while XLCubed is ranked 26th in Reporting. Anaconda is rated 7.8, 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.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
