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."Google Cloud Datalab is very customizable."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"All of the features of this product are quite good."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The APIs are valuable."
"The data is incredibly easy to share with colleagues."
"The solution is scalable."
"The most valuable feature of QlikSense is that you can capture the data without modifying it and then perform the ETL (extract, transform, and load) process."
"The number of visualizations that are present in Qlik is very useful for our developers to help our business partners tell stories with their data. Qlik continues to add to and enhance these visualizations with each release. We are also very excited to leverage the integration between Qlik Sense and Qlik Catalog as we roll that out soon."
"We have had an easy time supplying content to our customers."
"Qlik Sense makes it very easy to build interactive presentations for meetings."
"The Nprinting is useful."
"For a deployment scenario, Qlik Sense is also very easy to use. I can start development from any platform, on-premise or cloud, and continue from where I left off."
"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."
"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."
"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."
"I would like to have the ability to better customize the visuals including changing fonts, sizing, colors, axes, and titles."
"Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"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."
"They need to make security rules to access applications and data security easier and customizable."
"My advice to others is to make sure they have a good technical team. We have found that a lot of the consultants go in and out of the business and sometimes you are left alone without assistance."
"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."
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, Domino Data Science Platform and Amazon SageMaker, 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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