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."What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"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."
"The solution is an impressive tool for data migration and integration."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"We've found the product to be stable and reliable."
"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."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"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 product is stable, reliable, and scalable."
"Simplifies report designs and quickly displays tables and graphs."
"Great for handling complex data models."
"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."
"Databricks can improve by making the documentation better."
"The integration of data could be a bit better."
"There is room for improvement in the documentation of processes and how it works."
"Can be improved by including drag-and-drop features."
"Costs can quickly add up if you don't plan for it."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"The product should provide more advanced features in future releases."
"The solution is a little weak at the front end."
"It is not as mature as competitors such as Tableau and QlikView."
"The licensing ends up being more expensive than other options."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The installation process can be a bit complex."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Databricks is rated 8.2, while SAS Visual Analytics 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 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 Data Science Studio and Microsoft Azure Machine Learning Studio, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and SAS Enterprise Miner.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
