We performed a comparison between ELK Kibana, Google Cloud Datalab, and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."The automatic update of the graphs from a dashboard is very convenient."
"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."
"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 infrastructure is highly reliable and efficient, contributing to a positive experience."
"All of the features of this product are quite good."
"The APIs are valuable."
"The solution allows for the possibility for end-users to do their own reporting."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"It is an excellent tool for data capture, processing, and visualization."
"It is very easy to create dashboards, charts, and graphs."
"It's a very good, flexible product, and it's easy to learn."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"It's very easy to set everything up."
"Our customers love the visual capabilities on top of it and the ability to explain and get the required data. There is no other product like Tableau in the business intelligence and analytics space."
"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."
"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."
"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."
"Whenever it comes to specialized visualization, Tableau is an absolute failure."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
"At the organizational level, increasing the servers' capabilities to support us as an enterprise tool."
"When you're working on a dashboard, you can't select multiple components at a time and align them, so you have to go one by one. This is very cumbersome."
"Formatting controls could use some improvement."
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