We performed a comparison between Google Cloud Datalab and Qlik Sense 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."All of the features of this product are quite good."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"The APIs are valuable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"Google Cloud Datalab is very customizable."
"The most valuable feature is flexibility."
"Qlik DataMarket"
"The flexibility of a non-IT developed solution allows for fast to market solutions."
"Some of the valuable areas of this solution include producing individual reports and closing the gap."
"The UI is very easy to use, with drag and drop self-service analytics."
"Faster time to delivery utilizing useful charts and graphs, which allows for on-demand generation of analytical data in tables, graphs, and charts."
"The Qlik Sense cloud insights advisor helps our business users to get the answers to their data questions so that they do not have to rely on IT/BI resources every time they have some data request."
"Business users have been able to use the BI self-serve model."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"The product must be made more user-friendly."
"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."
"The interface should be more user-friendly."
"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."
"I am starting to work with Qlik Sense SaaS these days. This environment has its own reporting service, however, one of the things that could be better for the people that are already using Nprinting, is to have a Nprinting in SaaS."
"A valuable improvement for this solution would be the enabling of us to host dashboards for our customers."
"The security rules should be made easier to use."
"The solution needs to make improvements to the licensing model. They need to make it more affordable at scale, and to make it more affordable for those companies at the low end of the market as well."
"What needs improvement in Qlik Sense is the support. It could be faster. My organization had already talked to Qlik management and has escalated multiple times, so management is looking into the support."
"Areas for improvement include user-friendliness, self-service, and some of the visualization options for generating reports."
"From the initial setup of the product we had some struggles getting connections to some of our databases to function, this indicated that some of the data extract drivers can be improved and addition of some of the older database engines need to be added in Qlik Sense."
"The QMC needs more work. Some of the features should be available directly from the hub. Too many duplicates/publish. Intelli-sense when loading a stored qvd would help so much with remembering column names. The pop-up windows are too small when working in the QMC."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 reviews. Google Cloud Datalab is rated 7.6, while Qlik Sense is rated 8.6. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, the top reviewer of Qlik Sense writes "Customizable with good ROI and a quick learning curve". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and Microsoft Azure Machine Learning Studio, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx. See our Google Cloud Datalab vs. Qlik Sense report.
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