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."The APIs are valuable."
"Google Cloud Datalab is very customizable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"All of the features of this product are quite good."
"Qlik DataMarket"
"Quick reporting."
"The most valuable feature is the mobile platform."
"The Nprinting is useful."
"Placing buttons on my sheets creates a unique user experience and clears up clutter at the same time."
"The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable."
"The drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports."
"Qlik Sense has helped us in getting all inventory details in real-time ready for our sales reps to order and fulfill our inventory based on demand."
"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."
"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."
"Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future."
"Even though a huge set of learning material is available, anyone starting his/her journey on learning the software doesn't even know where to start it. The so-called Continous Classroom service is not cheap, but there are many free tutorials, they are not sorted or enlisted adequately though."
"Reload time is a limit since everyone wants real-time data."
"I would like to see Qlik add more DevOps functionality to their product. Currently, we have to turn to 3rd party products to handle things like Source Control, Code Deployment through environments, etc."
"Integrated maps should become part of the Qlik Sense, as opposed to buying an additional module just to power the BI, which has it built-in natively within the application."
"It's going to take 20 to 30 minutes to refresh sometimes."
"It needs continued improvement on its visualizations and content customization."
"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."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Qlik Sense is ranked 2nd in Data Visualization with 114 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 Amazon QuickSight, Tableau, Apache Superset, Microsoft Power BI and Alteryx. See our Google Cloud Datalab vs. Qlik Sense report.
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