We performed a comparison between QlikView, SAS Visual Analytics, and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting."You can do a lot of things on the back end which are not possible in the other solutions on the market."
"Scripting as per a customer's need, which is a pretty cool feature and not available in other tools."
"I had the option to prepare data myself instead of always having to depend on the data team."
"A well designed app brings freedom of inquiry to meetings, allowing me to answer questions in real time and this has transformed progress and outputs of our monthly group meeting."
"The integration with Salesforce has helped us gain access to crucial sales data in real-time."
"The solution is fast."
"It is useful to use a tool like this to have a view of data at a point in time. You can extract and create little data sets that you can store, and then over time, you can have a view for tracking changes. Especially when you work with a relational database or a database that's a production database, the data is dynamic, but if you use QlikView, you can take a snapshot of different datasets. In your own time, you can then get insights and report, build, analyze, and draw whatever you need from the data, which is quite useful."
"Our Qlikview applications help us to get a good idea of our Client Base Performance and assist us in the decision making for Seasonal Specials. On the other hand QlikView helps us to get a grasp on our Suppliers and helps us to negotiate pricing with them."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"Great for handling complex data models."
"Simplifies report designs and quickly displays tables and graphs."
"It provided the capability to visualize a bunch of data in an organized way."
"Data handling is one of the best features of SAS Visual Analytics."
"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 flexibility of the configuration is valuable to me."
"Our customers love the visual capabilities on top of it and the ability to explain and get the required data. There is no other product like Tableau in the business intelligence and analytics space."
"The most valuable features are the visualizations, the way they show the combination charts."
"The most valuable feature is the interface, which is user-friendly and intuitive."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"When compared with Power BI, Tableau is much easier."
"It is very easy to implement and to use."
"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"Improvements are required in the hide and unhide functionality that falls under the layout container feature that has been used in my company in recent times."
"Better source data connectors."
"Scalability really depends on the size of your data and QlikView server architecture. For the biggest data sets, it could become an issue at some point."
"They should offer the capability to directly access data from SaaS environments, as it would simplify the migration process, and while it may seem like a minor enhancement, it would be beneficial to our clients."
"If a user wanted to see something not included in the application the new object had to be created by a power user or developer because Qlik view's scripting has somewhat of a learning curve."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
"Though the initial setup phase is simple, when it comes to the integration with the custom systems, the configuration and the compatibility sometimes take some more time."
"Error handling."
"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."
"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."
"It is not as mature as competitors such as Tableau and QlikView."
"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 reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"SAS Visual Analytics could be more user-friendly."
"Tableau support could be improved."
"The data entered into Tableau must be clean. Otherwise, it won't work properly."
"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."
"There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
"When it comes to large datasets, the data should be extracted faster."
