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."The ease of use and its accessibility are valuable."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"The solution offers a free community version."
"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."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"Great capability, performance, flexibility, visuals, and the solution is also very cost effective."
"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"There are no direct connectors — they are very limited."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The integration of data could be a bit better."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"I would like more integration with SQL for using data in different workspaces."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"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.
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