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 setup is quite easy."
"I work in the data science field and I found Databricks to be very useful."
"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."
"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."
"We can scale the product."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The scalability of the solution is good; I'd rate it four out of five."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"I would like it if Databricks made it easier to set up a project."
"Can be improved by including drag-and-drop features."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The integration and query capabilities can be improved."
"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."
"We'd like a more visual dashboard for analysis It needs better UI."
"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 20th 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, Dremio and SAS Visual Analytics, whereas Domino Data Science Platform is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku, Alteryx and KNIME.
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