We performed a comparison between Databricks and Yellowfin based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The integration with Python and the notebooks really helps."
"The simplicity of development is the most valuable feature."
"The setup was straightforward."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Databricks has helped us have a good presence in data."
"It is able to create information dashboards for various users' throughout."
"It is a central source of up-to-date data and information."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"I have seen better user interfaces, so that is something that 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."
"There should be better integration with other platforms."
"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."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"It needs more presentation/charting capabilities and integration with GIS."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Yellowfin is ranked 36th in BI (Business Intelligence) Tools. Databricks is rated 8.2, while Yellowfin is rated 8.0. 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 Yellowfin writes "Very scalable design and easy to implement. It can reside alongside more complex enterprise systems". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Yellowfin is most compared with Microsoft Power BI, Apache Superset, 9 Spokes, Tableau and SAP Crystal Reports.
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