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 load distribution capabilities are good, and you can perform data processing tasks very quickly."
"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."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The solution is an impressive tool for data migration and integration."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"We have the ability to scale, collaborate and do machine learning."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"It integrates well with SAS, making it simple and quick for developers."
"I use Visual Analytics for enterprise reporting."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The product is stable, reliable, and scalable."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Great for handling complex data models."
"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 technical support services are good."
"I would like more integration with SQL for using data in different workspaces."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"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."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"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."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"The integration and query capabilities can be improved."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"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 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."
"A bit more flexibility in the temperatization will be helpful."
"SAS Visual Analytics could be more user-friendly."
"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."
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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