We performed a comparison between QlikView, Tableau, and Yellowfin based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting."The product’s most valuable feature is its ability to view the entire data available for analysis."
"QlikView is one of the strongest tools, I would say. Also, it has a very vast capability to process the data"
"I had the option to prepare data myself instead of always having to depend on the data team."
"The in-memory feature gives us better insight. It's also easy to drill down into the information and select information."
"The scalability is there."
"The most valuable aspect is its extensive library on Microsoft, providing a robust framework for implementation."
"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."
"Associative model - no more cubes."
"I have found many of the self-service features valuable."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"Tableau's initial setup was straightforward."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
"It's very easy to set everything up."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is a central source of up-to-date data and information."
"It is able to create information dashboards for various users' throughout."
"Enhancing user-friendliness would be highly beneficial."
"Improvement in collaboration, between that and publishing of reports and publishing of models."
"The user interface and ease of use takes a bit of a learning curve to pick up."
"I really wish the application was easier to use in the development phase."
"Error handling."
"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's room for improvement in the area of management's handling of concerns."
"For me, it is important to have a mix, what is the "view" and what is the "sense", Qlik Sense. They have two tools, but for me it is important to have only one tool, which combines the functions that we have from one side and the other side."
"The performance could be better."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"Tableau's data modeling, mining, and AI library features need improvement."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"Licensing and pricing options could be made better so that more users would be able to use it."
"It needs more presentation/charting capabilities and integration with GIS."
Earn 20 points
