We performed a comparison between Databricks and Domino Data Science Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"We have the ability to scale, collaborate and do machine learning."
"Automation with Databricks is very easy when using the API."
"Easy to use and requires minimal coding and customizations."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The scalability of the solution is good; I'd rate it four out of five."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"Can be improved by including drag-and-drop features."
"Databricks can improve by making the documentation better."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The predictive analysis feature needs improvement."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 47 reviews while Domino Data Science Platform is ranked 17th in Data Science Platforms. Databricks is rated 8.2, while Domino Data Science Platform is rated 7.0. The top reviewer of Databricks writes "Ahead of the competition in building data ecosystems, but needs to improve ease-of-use". On the other hand, Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Oracle Analytics Cloud, whereas Domino Data Science Platform is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Alteryx and Anaconda.
See our list of best Data Science Platforms vendors.
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.