We performed a comparison between Qlik Analytics Platform and Tableau 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."Reporting is a valuable feature of the solution."
"Qlik offers you all the features needed to extract the raw data from the source systems including an ETL layer to transform the data and to connect the multiple data sources into one data model, easy data sharing, security and scaling features, dashboards, and report functionality to share your data with your end-users."
"The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability."
"It is a great platform for third party extensions, has an open API, and there are no black boxes."
"It has a shallow learning curve and so you can go to market very, very, very quickly."
"I have found many of the self-service features valuable."
"The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features."
"It provides business users with a tool, so they are not dependent on IT."
"The geospatial maps representation and the visualizations are nice."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"This solution has improved insights into quantitative data."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"It would be great if decentralized teams would have more features to manage the metadata on the dashboards, setup the specific user access rights and rules to govern incoming and outgoing data sets from/to other teams, and more features to separate the different data process layers (e.g. extraction, transformation [data quality, business rules])."
"The user experience needs to be improved."
"More freedom for custom visuals and dashboard creation would be an improvement."
"One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"They need to improve the icons and the filters, because they look too old, resembling Excel from 1997."
"Include forecasting on table calculation fields."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"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."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"Whenever it comes to specialized visualization, Tableau is an absolute failure."
Qlik Analytics Platform is ranked 25th in Data Visualization with 4 reviews while Tableau is ranked 1st in Data Visualization with 290 reviews. Qlik Analytics Platform is rated 8.4, while Tableau is rated 8.4. The top reviewer of Qlik Analytics Platform writes "An easy-to-deploy solution with a variety of use cases and excellent reporting features". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Qlik Analytics Platform is most compared with Apache Superset and Qlik Sense, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. See our Qlik Analytics Platform vs. Tableau report.
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