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."
"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."
"Google Cloud Datalab is very customizable."
"The UI is very easy to use, with drag and drop self-service analytics."
"The drag and drop functionality provides an easy and fast development approach."
"Qlik Sense is very stable. I would rate the stability a ten out of ten. Even for rare issues, we receive good support from Qlik. It's a very stable solution."
"The extensibility of the Platform with either internally created extensions or the use of third-party provided items really opens the platform up."
"The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable."
"The reports are better looking than in QlikView."
"The most valuable feature is the interface for the end-user."
"We can generate various graphs, various reports and we can mainly use it for dashboard related things. We can create a dashboard with live data and we can make decisions based on this information,"
"The interface should be more user-friendly."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"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."
"The product must be made more user-friendly."
"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."
"There are some tools like Alteryx, which are used for data preparation. These features can be built into Qlik to make the process smoother."
"Needs more bookmarking and a data load screen."
"I wish the product had the ability for slightly more customization. The out-of-the box charts and visualizations are fantastic, but I want to be able to tweak it without having to add outside extensions and widgets."
"The use of APIs is not as friendly as it should be in the first place, especially when considering Python scripts and all other scripts, making it an area where improvements are required."
"The reporting solution recently added to the latest Cloud version, since December or January, is not fully developed. The ability to use tabular reporting, like in dashboards, would be a great feature."
"I would like for it to be more of a plug and play with all of the tools and sources. It would make it much easier to use."
"The one thing I would probably try to add is some kind of tutorial since the tool has a lot of options to work with, and for someone who is just starting and does not have any prior experience, it can be a little overwhelming."
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 Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx. See our Google Cloud Datalab vs. Qlik Sense report.
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