We performed a comparison between ELK Kibana, Google Cloud Datalab, and Qlik Sense based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."Having a tool where you can find logs that were generated months ago, and being able to search over a long period of time, is great."
"The optimization and flexibility of visualization tools."
"The automatic update of the graphs from a dashboard is very convenient."
"All of the features of this product are quite good."
"The APIs are valuable."
"Google Cloud Datalab is very customizable."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"Business users have been able to use the BI self-serve model."
"The UI is very easy to use, with drag and drop self-service analytics."
"Unique data visualizations created based on - among others - customer reviews and hands-on experience. Qlik is an experienced company in the Business Intelligence / Data visualization area, that doesn't necessarily mean it is the best solution, however, based on my personal experience it is much more complex than Power BI and Tableau as I've had some things to do with these two concurrent softwares."
"Qlik Sense makes it very easy to build interactive presentations for meetings."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"It offers good control. Loading the logs is also a good thing."
"Data-driven decisions are now easier."
"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."
"Security could be improved thereby avoiding the necessity of a third party plugin."
"This solution should allow the user to combine two indices into one graph."
"Having a kind of wizard that would help you when you are typing your search would make it easier and quicker to refine your search, and ultimately find what you are looking for."
"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."
"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."
"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."
"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."
"The QMC needs more work. Some of the features should be available directly from the hub. Too many duplicates/publish. Intelli-sense when loading a stored qvd would help so much with remembering column names. The pop-up windows are too small when working in the QMC."
"Error handling is an area that needs to be improved."
"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 augmented intelligence features don't work well for the analytical user."
"Data modelling automation needs improvement."
"The product could be less expensive."
"The scripts available in the solution are not great."
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