We performed a comparison between Microsoft Power BI and SAS Visual Analytics based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Everything that's in M Query and DAX is the heart of Power BI because with these tools you can make up for a lot of other missing features."
"Key features are its dashboard functionality and ease of integration with various data sources."
"There is a feature in Microsoft BI that allows JSON data to SQL on the dashboards effectively and quickly."
"The solution is very easy to use."
"The most valuable feature of the solution is that it is an easy-to-use tool."
"The dashboard features are really valuable, you can connect to multiple data points."
"The most valuable features are the flexibility, how many ways you can interrogate the data, and the the graphical visualization."
"It is a pretty straightforward and flexible solution for data integration and modeling. It is a low-code solution. When you are doing data integration, you can use the GUI, which is very simple and straightforward. You can also do very intricate custom queries and model it at different levels. It is very easy to use and scalable."
"The technical support services are good."
"It integrates well with SAS, making it simple and quick for developers."
"The speed to display charts and react to users' choices is great."
"The product is stable, reliable, and scalable."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"We've found the product to be stable and reliable."
"Data handling is one of the best features of SAS Visual Analytics."
"Great for handling complex data models."
"The performance of Microsoft BI could improve for large datasets and it would be beneficial to have more visualization features."
"Microsoft BI can improve some of the visual level filters or visual functionality, that are available in other BI tools, such as Tableau or Qlik Sense."
"If I have to update data automatically, where I have to pin the gateway, it doesn't update. There is a scheduled refresh functionality so that it refreshes automatically, but I find it very hard to make it work."
"The look and feel should be updated in terms of the types of dashboards and graphs that you can produce. They aren't as visual as some of its competitors."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"The integration in Microsoft BI could improve for other solutions, such as Oracle DB and PostgresSQL. Additionally, the reporting from the databases to Microsoft BI should be in real-time and the overall performance could be better."
"It could have more of a hold on big data. Manipulating big data on this solution complicates things. This needs to be improved."
"It's not user-friendly; more tutorials, training, and better documentation would be helpful."
"The solution is a little weak at the front end."
"I haven't come across any missing features."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The installation process can be a bit complex."
"The solution should improve its graphics."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"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."
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Microsoft Power BI is rated 8.0, while SAS Visual Analytics is rated 8.0. The top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Databricks, whereas SAS Visual Analytics is most compared with Tableau, Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and SAS Enterprise Miner. See our Microsoft Power BI vs. SAS Visual Analytics report.
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