We performed a comparison between Databricks and Workday Prism Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Automation with Databricks is very easy when using the API."
"It is fast, it's scalable, and it does the job it needs to do."
"Easy to use and requires minimal coding and customizations."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"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."
"It can send out large data amounts."
"The initial setup is pretty easy."
"Feature-wise, I feel that the solution's stability is good."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Databricks can improve by making the documentation better."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"It is not a very scalable product."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Workday Prism Analytics is ranked 26th in BI (Business Intelligence) Tools with 1 review. Databricks is rated 8.2, while Workday Prism Analytics 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 Workday Prism Analytics writes "A stable data analytics solution that needs some improvement with scalability and data visualization". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Workday Prism Analytics is most compared with Microsoft Power BI, Tableau, Oracle Analytics Cloud, Oracle Essbase and SAP Analytics Hub.
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