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."The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The initial setup is pretty easy."
"I like cloud scalability and data access for any type of user."
"The simplicity of development is the most valuable feature."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The ease of use and its accessibility are valuable."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Feature-wise, I feel that the solution's stability is good."
"Doesn't provide a lot of credits or trial options."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"I believe that this product could be improved by becoming more user-friendly."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"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."
"The integration features could be more interesting, more involved."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"It is not a very scalable product."
Databricks is ranked 1st in Data Science Platforms with 77 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, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics, whereas Workday Prism Analytics is most compared with Tableau, Microsoft Power BI, Oracle Analytics Cloud, Oracle Essbase and SAP Analytics Hub.
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