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."
"Google Cloud Datalab is very customizable."
"All of the features of this product are quite good."
"Quick reporting."
"All the necessary information is available to everyone in real time."
"The drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports."
"We have had an easy time supplying content to our customers."
"Qlik Sense is essentially a web-based tool even though it's on-prem – you're working off an HTML page – so it's pretty quick. Your processing speed does not matter because you're using a lot of stuff through the web. That's great because it brings down the cost in regards to hardware."
"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."
"We began to see how our processes and other team's processes were negatively affecting the bottom line. We were able to provide tips to other teams to help improve their processes."
"The associative searching and filtering capability is a unique feature among other BI tools, and one does not need to deeply understand the underlying data."
"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."
"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."
"The interface should be more user-friendly."
"The product must be made more user-friendly."
"They need to keep it as simple as possible but include as much advanced functionality as possible by positioning all the objects on the page, changing colors for all the objects, improving sheets actions, etc."
"We want the next version of this solution to be cloud-based so that each user can access it from anywhere in the world with their phone, tablet, or computer without a VPN connection."
"In my opinion, collaborative development of the Qlik Apps is a bit tricky and difficult in the Qlik Sense Cloud."
"There is no downside."
"The scripts available in the solution are not great."
"It would be nice to have more native features from QlikView built into Qlik Sense."
"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."
"Dates. My goodness, working with dates in set analysis can be a nightmare! Much room for improvement."
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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