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."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"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."
"All of the features of this product are quite good."
"The solution is scalable."
"Self-service use of the desktop version with the ability to port applications into the server environment."
"You can build a very nice dashboard and/or report very quickly."
"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 been using Qlik Sense to generate reports that have taken hours to prepare before that we are now able to update in a couple of minutes and are available to users on a centralized platform where they are able to get the required reports."
"We were able to identify easy things, such as when a contract was loaded incorrectly."
"We can easily and quickly deploy new dashboards that reach a wide audience and any changes get reflected almost instantaneously for the users."
"It has high performance when interacting with dashboards and reports."
"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."
"The interface should be 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 product must be made more user-friendly."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"Performing data transformations required a lot of programming, which is something that should be made easier."
"There is room for improvement in the storytelling mode and the report sharing. Qlik Sense also does not have a subscription base like Power BI. So a lot of the analysis is housed in community pages that are managed by either the author or a database administrator, or whoever the Qlik Sense manager is there."
"The navigation is quite clunky and outdated."
"They need to make security rules to access applications and data security easier and customizable."
"The only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker."
"Qlik Sense is working very well on going to low code and development. They are trying to make their environment more user-friendly. However, the training is not free. When you want to learn more about the tool, sometimes you need to pay for the training. This does not make sense to me because training should be free because the more you learn about the tool the more you use it and the more you are loyal to the company and want to continue usage."
"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."
"The communication with the solution's sales managers in Europe is very bad, making it an area that requires improvement. My company usually gets no response from the tool's sales managers."
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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