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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The documentation is excellent and the solution has a very large and active community that supports it."
"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 has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The solution is stable."
"The most advantageous feature is the logic building."
"I can use Anaconda for non-heavy tasks."
"The notebook feature is an improvement over RStudio."
"Data integration is very useful in Power BI. It lets me collect data from many sources. For example, I can get data from Oracle databases and SQL Server databases at the same time."
"Two valuable most features are the ability to create columns and create measures."
"The initial setup is straightforward."
"Initial setup was very straightforward. Users can get up and running reporting on databases within minutes."
"Our setup is very straight forward and can be done in a matter of hours."
"The interface is very fluid."
"I like all the tools in Microsoft BI because they all have different purposes. There are a lot of people using Microsoft BI, and everybody is using it. The users have adapted well to the technology."
"The Microsoft Power BI app is very good. It's also very flexible."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"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 interface could be improved. Other solutions, like Visual Studio, have much better UI."
"It also takes up a lot of space."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda can't handle heavy workloads."
"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 should be optimized for RAM consumption."
"Real-time updating needs improvement."
"Most clients have MacBooks. Therefore, they use Tableau as Power BI Desktop is not available for the MacBook right now."
"I would like to see a more user-friendly interface with Microsoft BI."
"It should be easier to use when there are multiple system sources."
"This solution's performance when handling big data could be improved. Right now, if you're handling big data, the application becomes slow and the performance is very low."
"The only concern I have faced with Microsoft BI is the time it takes to find out an issue and rectify it."
"This solution is resource-heavy."
"The mobile app is very poor."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Anaconda is rated 8.0, 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.
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