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."This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Its lightweight and fast processing are valuable."
"Databricks helps crunch petabytes of data in a very short period of time."
"The technical support is good."
"It's great technology."
"The product is stable, reliable, and scalable."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Simplifies report designs and quickly displays tables and graphs."
"We've found the product to be stable and reliable."
"The flexibility of the configuration is valuable to me."
"The technical support services are good."
"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."
"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."
"It would be great if Databricks could integrate all the cloud platforms."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"The Databricks cluster can be improved."
"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."
"There should be better integration with other platforms."
"There is room for improvement in visualization."
"The pricing of Databricks could be cheaper."
"In the next release, I would like to see more optimization features."
"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."
"SAS Visual Analytics could be more user-friendly."
"Colours used on report objects"
"The solution should improve its graphics."
"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."
"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."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"It is not as mature as competitors such as Tableau and QlikView."
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.
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.