We performed a comparison between Databricks and Microsoft BI based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Databricks is the winner in this comparison. It is robust, high performing, and received good feedback for its speed.
"It's great technology."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Ability to work collaboratively without having to worry about the infrastructure."
"The setup was straightforward."
"We have the ability to scale, collaborate and do machine learning."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"There are good features for turning off clusters."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The visualization and reporting are the most valuable features of this solution."
"The uploading of information is very easy, as you just use an Excel sheet to start work right away and obtain the benefits of Power BI."
"The fact that you can visualize items is great."
"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."
"One of the most valuable aspects of this tool is its ease of use and the ability to easily share information with others."
"The solution integrates with other Microsoft solutions very well."
"The solution is easy to use and flexible."
"Microsoft BI allows us to connect to any database or any dataset."
"Pricing is one of the things that could be improved."
"The integration features could be more interesting, more involved."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The product should provide more advanced features in future releases."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"It would be great if Databricks could integrate all the cloud platforms."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"The data source definition is all over the place."
"Things can slow down if you create too many pages."
"I find the solution to be 70 percent stable."
"I would like to see better, undisturbed stability without any interruptions."
"I have to write scripts to query data for analyzing performance."
"Microsoft BI can improve some of the visual level filters or visual functionality, that are available in other BI tools, such as Tableau or Qlik Sense."
"The solution could improve the extraction and transformation of data. For example, you transform the data and then send it to Microsoft BI without having to use your own API. We are only providing the API to Power BI, and then Power BI is doing the job."
"I would like to see the product offer more graphics to impact different audiences."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Databricks is rated 8.2, while Microsoft Power BI is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". 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)". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Alteryx, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and MicroStrategy.
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.