Google Cloud Datalab vs Tableau Enterprise comparison

Google and Salesforce are both solutions in the Data Visualization category. Google is ranked #18 with an average rating of 7.8, while Salesforce is ranked #1 with an average rating of 8.3. Google holds a 0.7% mindshare in DV, compared to Salesforce’s 20.6% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

757 Views
167 Comparison Views

80% willing to recommend

Tableau Enterprise

Read 307 Tableau Enterprise reviews

19,755 Views
5,927 Comparison Views

89% willing to recommend

Google Cloud Datalab

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 4, 2025

Tableau Enterprise and Google Cloud Datalab are both in the analytics platform category. Tableau Enterprise seems to have the upper hand due to its user-friendly interface and robust visualization capabilities, which make it ideal for non-technical users.

Features: Tableau Enterprise offers dynamic report generation, rich interactive visualizations, and simple data blending capabilities. It is known for its intuitive drag-and-drop functionality, enabling users without technical backgrounds to create complex dashboards effortlessly. Google Cloud Datalab, on the other hand, provides seamless integration with other Google Cloud services, facilitating advanced machine learning operations, big data processing, and API accessibility.

Room for Improvement: Tableau Enterprise could benefit from better integration with external big data services and improved analytics features to appeal to technical users. Additionally, more customization options for advanced users might enhance its appeal. Google Cloud Datalab could improve its user interface for beginners, offer more simplified visualization tools, and enhance its deployment ease for those unfamiliar with cloud environments.

Ease of Deployment and Customer Service: Tableau Enterprise is known for its straightforward on-premises deployment, backed by excellent customer support that facilitates quick problem resolution. Google Cloud Datalab offers cloud-based deployment, which benefits from Google’s extensive documentation and support resources, ensuring that users can leverage the platform's full capabilities.

Pricing and ROI: Tableau Enterprise's higher initial setup costs are offset by the enhanced productivity and user satisfaction it brings through its ease of use. This translates to a strong ROI as users can derive value quickly through heightened decision-making speed. Google Cloud Datalab offers competitive pricing aligned with cloud usage patterns, providing scalability and cost efficiency, leading to a greater long-term ROI for organizations heavily invested in Google Cloud solutions.

To learn more, read our detailed Google Cloud Datalab vs. Tableau Enterprise Report (Updated: September 2025).

Buyer's Guide

Google Cloud Datalab vs. Tableau Enterprise

September 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Google Cloud Datalab

Ranking in Data Visualization

18th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (19th)

Tableau Enterprise

Ranking in Data Visualization

1st

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

307

Ranking in other categories

BI (Business Intelligence) Tools (2nd), Reporting (2nd), Embedded BI (1st)

Mindshare comparison

As of September 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.7%, up from 0.5% compared to the previous year. The mindshare of Tableau Enterprise is 20.6%, down from 30.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	20.6%
Google Cloud Datalab	0.7%
Other	78.7%

Data Visualization

Featured Reviews

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

Easy to setup, stable and easy to design data pipelines

The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

Read full review

Uzair Faruqi

Head Of Analytics at Mjunction Services

Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization

Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"All of the features of this product are quite good."

"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."

"For me, it has been a stable product."

"The APIs are valuable."

"Google Cloud Datalab is very customizable."

"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."

"Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on."

"The product has the best features for analytical views and filters."

"The geospatial maps representation and the visualizations are nice."

"Better interaction and less time spent with end users."

"This solution has transformed us from an Excel reporting environment to one of visual exploration."

"It provides business users with a tool, so they are not dependent on IT."

"Partner support is very good."

More Tableau Enterprise pros

Cons

"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."

"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."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"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."

"Tableau support could be improved."

"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 Hyper Extract functionality is not as strong as that provided by Microsoft SQL."

"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."

"When there are millions of records, scaling up is quite difficult."

"The architecture should be improved to better handle the data."

"I find data prepping in Tableau challenging to understand, perhaps because I am new to it. It sometimes requires extensive investigation to determine why the data does not appear correctly."

"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."

More Tableau Enterprise cons

Pricing and Cost Advice

"The product is cheap."

"It is affordable for us because we have a limited number of users."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"I believe it has a lifelong license, and once you purchase it, you don't have to renew it, but I'm not sure."

"It is a bit overpriced."

"It is a bit difficult for some people when they hear $70.00 per month, as some solutions are available for less than $10.00 or for free."

"The licensing model of Tableau has changed since we initially purchased it three years ago and it is more complicated, and I have found it to be more expensive. They have lost market shares to Microsoft BI. My company will probably change solutions this year because of the increased pricing model."

"This license is on a yearly basis."

"ROI is very high, but it requires a data preparation/blending tool."

"It's an annual fee with everything included but it's quite expensive."

"The license is very expensive."

More Tableau Enterprise pricing and cost advice

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Comparison Review

it_user6330

Product Manager at a retailer with 10,001+ employees

May 2, 2013

MicroStrategy vs. Tableau

After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

28%

Government

University

Computer Software Company

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	117
Midsize Enterprise	66
Large Enterprise	182

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

What needs improvement with Google Cloud Datalab?

Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...

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What is your primary use case for Google Cloud Datalab?

It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...

See all answers

Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...

See all answers

Tableau vs. Business Objects - Which is a better solution for visualization and analysis?

Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...

See all answers

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

See all answers

Comparisons

Anaconda Business vs Google Cloud Datalab

Compared 36% of the time

IBM SPSS Statistics vs Google Cloud Datalab

Compared 23% of the time

Databricks vs Google Cloud Datalab

Compared 15% of the time

Oracle Analytics Cloud vs Google Cloud Datalab

Compared 13% of the time

KNIME Business Hub vs Google Cloud Datalab

Compared 12% of the time

More Google Cloud Datalab Competitors

Microsoft Power BI vs Tableau Enterprise

Compared 19% of the time

Domo vs Tableau Enterprise

Compared 10% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 6% of the time

Databricks vs Tableau Enterprise

Compared 5% of the time

SAP Analytics Cloud vs Tableau Enterprise

Compared 4% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Google Cloud Datalab

September 2025

Download Google Cloud Datalab product report

Buyer's Guide

Tableau Enterprise

August 2025

Download Tableau Enterprise product report

Also Known As

No data available

Tableau Desktop, Tableau Server, Tableau Online

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.

Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.

What are the most valuable features?

Interactive Visualizations: Enables users to create engaging reports.
Drag-and-Drop Functionality: Simplifies data analysis processes.
Data Integration: Offers seamless connectivity with multiple sources.
Real-Time Collaboration: Supports synchronous data sharing.
Advanced Analytics: Provides predictive analytics and geospatial analysis.

What benefits and ROI should users look for?

Informed Decision-Making: Facilitates data-driven insights.
Efficiency in Reporting: Streamlines dashboard and reporting tasks.
Cost-Effectiveness: Despite high licensing, value in robust analytics tools.
Customizable Options: Tailors analytics to specific needs.

Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.

Salesforce

Sample Customers

Information Not Available

Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.

Buyer's Guide

Google Cloud Datalab vs. Tableau Enterprise

September 2025

Free Report: Google Cloud Datalab vs. Tableau Enterprise

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