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.
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Databricks has helped us have a good presence in data."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"The simplicity of development is the most valuable feature."
"The main features of the solution are efficiency."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"It is a cost-effective solution."
"The most valuable feature of this solution is real-time report tracking."
"Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support."
"Microsoft BI is easy to use and to design. I found Microsoft BI a lot easier than Tableau."
"Technical support is quite good."
"It is easy to work with and very chic."
"What I like about Power BI is how fast you are able to create dashboards and how fast you are able to fetch the data. You can connect to the database or data source, and then you can design your dashboards very easily."
"The solution is stable with reasonable performance."
"The most valuable feature would be the abundance of connectors. It is also easy to use."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Can be improved by including drag-and-drop features."
"Doesn't provide a lot of credits or trial options."
"There should be better integration with other platforms."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"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."
"The Databricks cluster can be improved."
"The solution could benefit by allowing deeper data analytics."
"The solution's documentation needs improvement."
"The solution doesn't integrate well with third-party tools."
"Our expectation is putting BI to work in real-time data collection systems in the maritime environment."
"There needs to be improved guidance and documentation for the initial setup of Power BI as it currently remains complex."
"Their technical support can be better. They normally take too long to escalate and resolve a case."
"There is no column-level security in Microsoft BI, and this is a feature that most of our customers are looking for. That is something that should be implemented."
"I would like to see better, undisturbed stability without any interruptions."
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 Data Science Studio, Microsoft Azure Machine Learning Studio and Alteryx, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and SAS Visual Analytics.
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.