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."The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability."
"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."
"Reporting is a valuable feature of the solution."
"It is a great platform for third party extensions, has an open API, and there are no black boxes."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"Partner support is very good."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"The platform's most important feature is predictive analysis."
"The product has the best features for analytical views and filters."
"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."
"One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows."
"More freedom for custom visuals and dashboard creation would be an improvement."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"If I have to develop any, for example, pie charts, I can develop them just fine. However, if I have to develop a donut chart, that I cannot do it in a simple way. There are tricks that I need to use if I have to design a donut chart. It should be more flexible and provide more visualization options."
"The user experience for less savvy or non-technical people (from my experience)."
"With Tableau, there is a gap in its ability to handle very large-scale data."
"I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it."
"Small multiples (a.k.a. Trellis charts) are possible only through very hacky means. Update: Still remains a challenge."
"Tableau's data modeling, mining, and AI library features need improvement."
"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."
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 Databricks. See our Qlik Analytics Platform vs. Tableau report.
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