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 processing capacity is tremendous in the database."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Databricks helps crunch petabytes of data in a very short period of time."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Databricks' most valuable feature is the data transformation through PySpark."
"I like cloud scalability and data access for any type of user."
"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 alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It's a stable, reliable product."
"The technical support services are good."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"It integrates well with SAS, making it simple and quick for developers."
"Simplifies report designs and quickly displays tables and graphs."
"The product is stable, reliable, and scalable."
"We'd like a more visual dashboard for analysis It needs better UI."
"The Databricks cluster can be improved."
"The product cannot be integrated with a popular coding IDE."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"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."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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."
"The solution is a little weak at the front end."
"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."
"The licensing ends up being more expensive than other options."
"The product is expensive and needs the integration of more languages."
"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."
"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."
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 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.
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