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."I can use Anaconda for non-heavy tasks."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The most advantageous feature is the logic building."
"The notebook feature is an improvement over RStudio."
"The solution is stable."
"It helped us find find the optimal area for where our warehouse should be located."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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 best thing about this solution is that it is very user friendly. It is interactive in terms of visualizations. It is very eye-catching, and it attracts users. There are a lot of options to visualize the data in different drafts and views. I have used different visualization tools, and I found Power BI to be more efficient in terms of performance, user-friendliness, and ease of use."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"The solution is easy to set up and implement."
"The Microsoft Power BI app is very good. It's also very flexible."
"There are some great automation elements in the product."
"The solution is stable with reasonable performance."
"The most valuable features in Microsoft BI are the analysis using the feature drag and drop function. It's very easy to load and use different data sources."
"The one feature most of our customers like is data visualization. When we were doing BI directly from SQL, most users found it challenging to create their own reports. Power BI has self-serve analytics that the end-users can do themselves. On most projects, people are primarily using data visualization and self-serve analytics."
"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."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda can't handle heavy workloads."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The solution would benefit from offering more automation."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"I have to write scripts to query data for analyzing performance."
"Microsoft BI could improve by allowing large-size data sources. We have large data sources, and we have problems loading them in Microsoft BI."
"Some kind of expression wizard, where the user can build a complex expression without any knowledge of DAX, can be a good addition to the product."
"Areas for improvement would be the construction of reports and the dashboard budget."
"Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is."
"There is no specific area that I have a problem with. It's just that, with whatever feature you come across, every visual has its own formatting and behavior. What you get in one visual for a feature, you don't seem to get in another."
"The solution doesn't integrate well with third-party tools."
"I would like to be able to use more predicting data science features without having to use R."
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.
