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."All of the features of this product are quite good."
"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."
"The APIs are valuable."
"Google Cloud Datalab is very customizable."
"Easy to create graphs and visualizations."
"It is very easy to implement and to use."
"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."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"You can create attractive dashboards that inform users using Tableau."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"The most valuable feature is the aggregation function."
"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."
"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."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
"The customization in the front end is a bit difficult."
"Tableau is a company that does not respect partners."
"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."
"In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI."
"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."
"The user experience for less savvy or non-technical people (from my experience)."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Tableau is ranked 1st in Data Visualization with 290 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, IBM SPSS Modeler and KNIME, 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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We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
