We performed a comparison between Anaconda and Microsoft Power BI 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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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."
"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 solution is stable."
"The most advantageous feature is the logic building."
"The initial setup is pretty straightforward."
"The solution is quite scalable."
"In the process of using data there is the Extract, Transform and Load (ETL). For extracting we are using another software, for transforming we are using our own coding in C#, and then we use Microsoft BI for loading the information. Microsoft BI displays information very well."
"There is continual improvement year-over-year."
"There is a feature in Microsoft BI that allows JSON data to SQL on the dashboards effectively and quickly."
"I have found the most valuable feature of this solution is the Natural Language tool."
"It's the analytic engine in terms of the interface on the Power BI environment, as opposed to pivot tables, and it's a mobile solution."
"The sharing features are vital, especially the ability to share and test different shared dashboards."
"Anaconda should be optimized for RAM consumption."
"When you install Anaconda for the first time, it's really difficult to update it."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"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."
"Anaconda can't handle heavy workloads."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The smart phone application could be improved, along with better graphics and faster updating."
"It is not the right tool to do deeper analysis or predictions. When you have some data and you want to do some deep analysis, there is no feature to help you with this."
"If I have to update data automatically, where I have to pin the gateway, it doesn't update. There is a scheduled refresh functionality so that it refreshes automatically, but I find it very hard to make it work."
"The licensing needs improvement. There needs to be a middle option between Pro and Premium versions."
"I have to write scripts to query data for analyzing performance."
"Most clients have MacBooks. Therefore, they use Tableau as Power BI Desktop is not available for the MacBook right now."
"I have been doing trial and error to figuring out how to do the data analyzing and modeling. There could be some improvement to simplify it."
"It should be more user-friendly. There are very small or tiny icons that you need to move very carefully. If you go a little bit up and down, some of the values change. Its user interface should be improved. It should be like Tableau. Its performance is also slow and should be improved. I definitely feel some sort of speed issues with Power BI. The integration of Excel with Power BI would also be good."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Anaconda is rated 7.8, while Microsoft Power BI is rated 8.0. 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 Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, IBM SPSS Statistics and IBM Watson Studio, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
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.
