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."Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"It's great technology."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"I like cloud scalability and data access for any type of user."
"Databricks' most valuable feature is the data transformation through PySpark."
"The ease of use and its accessibility are valuable."
"The simplicity of development is the most valuable feature."
"Easy to use and requires minimal coding and customizations."
"Data handling is one of the best features of SAS Visual Analytics."
"I use Visual Analytics for enterprise reporting."
"Great for handling complex data models."
"The technical support services are good."
"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."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The flexibility of the configuration is valuable to me."
"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."
"There should be better integration with other platforms."
"There is room for improvement in the documentation of processes and how it works."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Anyone who doesn't know SQL may find the product difficult to work with."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"The integration and query capabilities can be improved."
"I would like it if Databricks made it easier to set up a project."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"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."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"Colours used on report objects"
"It is not as mature as competitors such as Tableau and QlikView."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"A bit more flexibility in the temperatization will be helpful."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAS Visual Analytics is ranked 8th 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, Microsoft Azure Machine Learning Studio and Confluent, 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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