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."In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"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."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"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 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."
"It is fast, it's scalable, and it does the job it needs to do."
"I use Visual Analytics for enterprise reporting."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"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."
"It's a stable, reliable product."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"It provided the capability to visualize a bunch of data in an organized way."
"The flexibility of the configuration is valuable to me."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"There is room for improvement in visualization."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Pricing is one of the things that could be improved."
"Can be improved by including drag-and-drop features."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Would be helpful to have additional licensing options."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"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."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"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 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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