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."The technical support is good."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"There are good features for turning off clusters."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The scalability of the solution is good; I'd rate it four out of five."
"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."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"There should be better integration with other platforms."
"The integration of data could be a bit 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 initial setup is difficult."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"The predictive analysis feature needs improvement."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Domino Data Science Platform is ranked 19th in Data Science Platforms. Databricks is rated 8.2, while Domino Data Science Platform is rated 7.0. 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 Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Oracle Analytics Cloud, whereas Domino Data Science Platform is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku, Alteryx and KNIME.
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