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 capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The main features of the solution are efficiency."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"It is fast, it's scalable, and it does the job it needs to do."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The solution is very easy to use."
"It is a cost-effective solution."
"It integrates better with other Microsoft products. It is very easy to use and has very powerful visualizations. It has also got a lot of development going on."
"I like that I can use Power BI to upload data. That is very important for me. The visualization is also convenient and easy to use."
"It is easy to work with and very chic."
"The good part of it is that you can do whatever you want with it when it comes to building BI. In terms of languages, it supports Python, and it also natively supports R."
"I like the downloadable visualizations a lot. I think that they give the user a very nice starting point in creating awesome dashboards, with the right way to tell their data story."
"The solution is stable."
"The visualization and reporting are the most valuable features of this solution."
"The most valuable features are the flexibility, how many ways you can interrogate the data, and the the graphical visualization."
"Costs can quickly add up if you don't plan for it."
"The integration of data could be a bit better."
"The integration and query capabilities can be improved."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Can be improved by including drag-and-drop features."
"I believe that this product could be improved by becoming more user-friendly."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"In the next release, I would like to see more optimization features."
"Microsoft BI could improve by having better collaboration between developers working on the same dashboard. The developer platform is all done on a single laptop and it's difficult to have the same project files work. Two developers have to go back and forth. You have to have the project file on one developer's laptop making it difficult to co-develop."
"My data is restricted to my DB and I'm not sure how this would handle an extremely large dataset."
"Anything they can do to improve enterprise collaboration is going to help people get set up and utilize the solution."
"Integrating it with the physics build model or the engineering model should be included."
"Most of the dashboarding tools have prebuilt graphs. So, you have to stick with them, unless you are going to use a third-party tool to create them, and then you are going to upload them to the BI tool. In Power BI, they started supporting this functionality and created a tool for that, but it isn't yet complete and mature. It is still exceeding the expectations and is better than most of the BI tools when it comes to creating custom graphs, but it needs more enhancement and simplification. It would be good to have a design tool provided by Power BI to design the graphs that we want and set the figures that we want on them."
"The interface could be improved."
"Power BI doesn't support some open-source data sources that are new, such as SnowSQL, Iceberg, or ClickHouse."
"From any improvement perspective, I want the product to be made available to users free of cost...The stability and scalability of the product can be better."
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.
