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."
"Google Cloud Datalab is very customizable."
"The APIs are valuable."
"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 most valuable feature is the aggregation function."
"Tableau is good for routine dashboards, and it has integration with Slack, through which it can send you daily updates."
"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 been the best tool to work with from a self-service point of view."
"Good data flow and management."
"It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."
"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."
"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."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"The performance could be better."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"Improvements in schema security and row/column security need to be made."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Tableau is ranked 1st in Data Visualization with 291 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.
See our list of best Data Visualization vendors.
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.