We performed a comparison between Databricks and XLCubed based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The processing capacity is tremendous in the database."
"The initial setup phase of Databricks was good."
"Automation with Databricks is very easy when using the API."
"The most valuable feature is the ability to use SQL directly with 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 most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."
"Great capability, performance, flexibility, visuals, and the solution is also very cost effective."
"There is room for improvement in the documentation of processes and how it works."
"Databricks can improve by making the documentation better."
"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."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks' technical support takes a while to respond and could be improved."
"The product cannot be integrated with a popular coding IDE."
"I would like more integration with SQL for using data in different workspaces."
"Would be helpful to have additional licensing options."
"There should be a better or an easier way to establish that connection to external sources."
"Would like the ability to be able to benchmark."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 78 reviews while XLCubed is ranked 26th in Reporting. Databricks is rated 8.2, while XLCubed is rated 7.6. 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 XLCubed writes "Cost effective with great capability, performance, flexibility and visuals". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas XLCubed is most compared with Microsoft Power BI and Tableau.
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.