We performed a comparison between Databricks and SAS Visual 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 main features of the solution are efficiency."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Databricks' most valuable feature is the data transformation through PySpark."
"The integration with Python and the notebooks really helps."
"I work in the data science field and I found Databricks to be very useful."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"Databricks helps crunch petabytes of data in a very short period of time."
"It integrates well with SAS, making it simple and quick for developers."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The speed to display charts and react to users' choices is great."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"The flexibility of the configuration is valuable to me."
"The product is stable, reliable, and scalable."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"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."
"Implementation of Databricks is still very code heavy."
"The initial setup is difficult."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The product is expensive and needs the integration of more languages."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The solution should improve its graphics."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"I haven't come across any missing features."
"It is not as mature as competitors such as Tableau and QlikView."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Databricks is rated 8.2, while SAS Visual Analytics is rated 8.2. 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Oracle Analytics Cloud, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Microsoft Azure Machine Learning Studio, Dataiku and SAS Enterprise Miner.
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