We performed a comparison between Google Cloud Datalab and Tableau 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."
"All of the features of this product are quite good."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"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."
"We frequently utilize visualizations using maps and different objects, all with rich coloring options. And tooltips are absolutely essential for us. Tooltips, like the pop-up descriptions when you hover over some object or graph. Those tooltips in Tableau are great features."
"It has a shallow learning curve and so you can go to market very, very, very quickly."
"It gives us a new dimension to the way that we analyse our data."
"The initial setup is simple."
"Tableau is very good in the front-end visualization compared to Power BI."
"Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us."
"I have found the solution easy to use and the interface is very good."
"Very 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."
"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."
"The product must be made more user-friendly."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."
"The pricing is a bit expensive."
"The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."
"Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard."
"The customization requires a lot of effort and should be simplified. The performance could be better."
"SAP BusinessObjects has some semantic layer designs that give the flexibility to do ad hoc reporting or dashboard designing. If that can be brought into Tableau, it would be great. We have the data in the database, but we should also be able to bring something between the database and the dashboard and do some semantic layer modeling for ad hoc reporting requirements."
"The data entered into Tableau must be clean. Otherwise, it won't work properly."
"The process of embedding the dashboards on external portals and websites could be improved."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Tableau is ranked 1st in Data Visualization with 293 reviews. Google Cloud Datalab is rated 7.6, while Tableau is rated 8.4. 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 Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and Qlik Sense, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Google Cloud Datalab vs. Tableau report.
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