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."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The APIs are valuable."
"All of the features of this product are quite good."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"The changes in a dashboard are very easy."
"Placing buttons on my sheets creates a unique user experience and clears up clutter at the same time."
"Self-service use of the desktop version with the ability to port applications into the server environment."
"What I found most valuable in Qlik Sense is its flexibility. It's a very flexible tool, and it has a lot of capabilities compared to Tableau and Power BI. In Qlik Sense, you can take data from any of the systems, and you can do data transformation, prepare the data, then present your KPIs. Data transformation isn't present in Tableau, Power BI, and other tools. In Qlik Sense, you're able to get the data and directly present that data. The presentation layer is also very good in Qlik Sense. My company is very happy with this tool."
"Obviously and considering that Qlik Sense is a data visualization application, the most attractive feature is the fast handling of large amounts of data and the attractive visualization of the same."
"Business users have been able to use the BI self-serve model."
"The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information."
"The solution is scalable."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"The interface should be more user-friendly."
"The product must be made 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."
"The SaaS offering is being enriched quickly in order to attract new customers to that space and encouraging existing customers to make the switch. The Enterprise solution is therefore lagging behind SaaS in features."
"There is no downside."
"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."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
"The only thing I would say that comes up is that sometimes it can be a bit buggy."
"We have faced some issues with NPrinting, so I feel there is some improvement needed such that it would allow the use of variables and calculative fields from Qlik."
"The on-demand report generation button in Qlik Sense currently doesn't work if NPrinting requires Okta verification, which our company uses."
"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."
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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