We performed a comparison between Pyramid Analytics and SAS Visual Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."
"The on-premise version has quite good scalability."
"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."
"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"It provided the capability to visualize a bunch of data in an organized way."
"It's relatively simple to create basic dashboards and reports."
"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."
"The technical support services are good."
"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."
"Simplifies report designs and quickly displays tables and graphs."
"It integrates well with SAS, making it simple and quick for developers."
"Data handling is one of the best features of SAS Visual Analytics."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"I find that this is quite a heavy, time-consuming tool for developers."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"A bit more flexibility in the temperatization will be helpful."
"The solution is a little weak at the front end."
"The installation process can be a bit complex."
"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 product is expensive and needs the integration of more languages."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The solution should improve its graphics."
"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."
Pyramid Analytics is ranked 13th in Data Visualization with 8 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Pyramid Analytics is rated 7.6, while SAS Visual Analytics is rated 8.0. The top reviewer of Pyramid Analytics writes "A comprehensive and user-friendly business intelligence for enhanced data insight". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Pyramid Analytics is most compared with Microsoft Power BI, Tableau, Alteryx, Databricks and Qlik Sense, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio. See our Pyramid Analytics vs. SAS Visual Analytics report.
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