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 most advantageous feature is the logic building."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The solution is stable."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"It helped us find find the optimal area for where our warehouse should be located."
"The notebook feature is an improvement over RStudio."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The documentation is excellent and the solution has a very large and active community that supports it."
"Microsoft BI was very helpful for me because I had a huge variety of connections. It is very convenient to build reports, even if somebody has no experience using BI tools or data visualizations. Additionally, the performance is very good when generating reports."
"Tech support is very helpful."
"I liked that Microsoft Power BI handles a large amount of data. I can handle hundreds of rows from Postgres in a few minutes. I also like how it detects the relationship between the tables without explicitly saying that. It just detects the relationship automatically. That made it easier to work with the data."
"The most useful features are the ability to connect different databases to Microsoft BI and explore them. Once the database information has been extracted, you have the ability to construct indicators and dashboards from the information."
"The solution is very easy to use."
"Reporting is the best thing about Power BI. And it could help improve decision-making in many ways. Power BI is flexible and easier to use compared to tools."
"We can see that it's really improved the way end users can do their own graphs and pick their own fields of information and present that in a nice way."
"We have found the solution to be stable."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda can't handle heavy workloads."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"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."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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 challenge of this product is in truncating the table data."
"It is definitely a wonderful analytics tool. However, database ETL, data integration functionality would be absolutely perfect in many cases. Currently, it doesn't get the job done and we need to extract, transform, and load the data from faulty data sets into something more suitable for the deployment of the analytics tool."
"Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users."
"It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases."
"The mobile app is very poor."
"The maps in Power BI could be improved. You deal with many maps over the years, like maps of America and Saudi Arabia. The maps aren't detailed enough, and there aren't enough visualization tools. Whenever I want to use a map, I struggle with choosing the right visualization."
"Microsoft needs to provide more drivers to connect other data sources in a native way."
"The DAX in Microsoft BI is quite difficult."
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.
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.
