Google Cloud Datalab vs Tableau Enterprise comparison

Google and Salesforce are both solutions in the Data Visualization category. Google is ranked #17 with an average rating of 7.5, while Salesforce is ranked #1 with an average rating of 8.3. Google holds a 1.1% mindshare in DV, compared to Salesforce’s 11.3% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 90% of Salesforce users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

989 Views
326 Comparison Views

80% willing to recommend

Tableau Enterprise

Read 309 Tableau Enterprise reviews

18,144 Views
5,625 Comparison Views

90% willing to recommend

Google Cloud Datalab

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 9, 2025

Tableau Enterprise and Google Cloud Datalab are competing products in the data analytics space. Tableau Enterprise seems to have the upper hand in customer support and pricing structures, while Google Cloud Datalab offers extensive capabilities that appeal to users seeking powerful data processing and machine learning integration.

Features: Tableau Enterprise offers robust data visualization, interactive dashboards, and extensive integration capabilities, making it ideal for scalable analytics. It features easy-to-use drag-and-drop functionality, seamless data source integration, and powerful storytelling capabilities. Google Cloud Datalab stands out with enhanced machine learning integration, allowing seamless collaboration with Google Cloud tools. It offers robust infrastructure, easy setup for data pipeline design, and valuable APIs that enhance data exploration and analysis.

Room for Improvement: Tableau Enterprise could improve its cloud-centric approach, flexibility in complex data handling, and expand on machine learning capabilities. Google Cloud Datalab may require enhancements in customer support, cost-effectiveness, and user-friendly interactive dashboard features.

Ease of Deployment and Customer Service: Google Cloud Datalab provides a cloud-centric deployment model that integrates smoothly with other Google Cloud services, offering flexible scaling. Tableau Enterprise offers more traditional installation processes but excels in customer support with better on-site service options, making it preferred for those valuing hands-on assistance.

Pricing and ROI: Tableau Enterprise generally offers more predictable pricing models, aiding in straightforward budgeting and yielding solid ROI through effective data presentations. In contrast, Google Cloud Datalab's pricing can vary based on usage, which may increase costs but often delivers higher ROI through its extensive data processing and machine learning capabilities.

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

Buyer's Guide

Google Cloud Datalab vs. Tableau Enterprise

December 2025

Download the complete report

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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

17th

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

6.1

Number of Reviews

309

Ranking in other categories

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

Mindshare comparison

As of January 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.1%, up from 0.5% compared to the previous year. The mindshare of Tableau Enterprise is 11.3%, down from 28.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	11.3%
Google Cloud Datalab	1.1%
Other	87.6%

Data Visualization

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

dashboards are good and data visualization is more meaningful for the end-user

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 forcing your database with over a billion records, it can be tough for the end-user to manage the data. You need to have a single entity system in each environment. It's not because of GCP, but it would be great to have options like MongoDB or other similar tools in GCP. Then, we wouldn't always need to connect to the cloud and execute SQL queries. Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated. Once the data is collected, it should be easily sorted.

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.

Read full review

Quotes from Members

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

Pros

"Google Cloud Datalab is very customizable."

"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."

"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."

"I love the customization skills that Tableau has, it is not restricted to what is built-in already."

"When compared to Power BI, Tableau has more readily available resources."

"The solution offers very good reporting."

"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."

"Data Interpreter: Which can identify issues or potential errors with your imported data."

"Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience."

"Overall, Tableau is a very good tool."

"Tableau's initial setup was straightforward."

More Tableau Enterprise pros

Cons

"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."

"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."

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

"There's no mature ETL tool in Tableau, which is quite a negative for them."

"There could be improvements on the mobile application, it is lacking features."

"Other tools are more competitively priced."

"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."

"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."

"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."

"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."

"Tableau support could be improved."

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."

"In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people."

"I'm using Tableau Public, which is free."

"We are on an annual license which costs us $1,400 which is very expensive. Microsft BI is less expensive."

"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."

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

"Its price is a concern. It is more expensive than Power BI. My guess would be that it is $1000 or less per year. We might go for Power BI in the future because of its umbrella with Microsoft licensing. It is much cheaper for us to use Power BI, and some folks will go in that direction because they don't want to pay the higher license."

"Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."

"Tableau has core-based and user-based licensing, and it is tied to scalability. The core-based licensing is about you buying a certain number of cores, and there is no restriction on the number of users who can use Tableau. The restriction is only on the number of cores. In user-based subscription licensing, there is a restriction on the number of users. Big companies and government organizations with a lot of users typically go for core-based licensing. User-based subscription licensing is a more common model. It has user roles such as creator, explorer, and viewer. A creator is someone who does the groundwork or development work. An explorer is someone who is into middle management but is not technically savvy, such as a category head. A viewer is like a typical decision-maker in senior management. For each role, Tableau is priced differently. The viewer role has the minimum price, and the creator role has the highest price. This pricing is available on their website. Everybody can see it."

More Tableau Enterprise pricing and cost advice

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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…

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

10%

University

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing 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	67
Large Enterprise	184

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?

See all answers

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 20% of the time

Databricks vs Google Cloud Datalab

Compared 14% of the time

IBM SPSS Statistics vs Google Cloud Datalab

Compared 9% of the time

KNIME Business Hub vs Google Cloud Datalab

Compared 8% of the time

Julius AI vs Google Cloud Datalab

Compared 6% of the time

More Google Cloud Datalab Competitors

Microsoft Power BI vs Tableau Enterprise

Compared 19% of the time

Domo vs Tableau Enterprise

Compared 9% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 4% of the time

Databricks vs Tableau Enterprise

Compared 3% of the time

Julius AI vs Tableau Enterprise

Compared 3% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Google Cloud Datalab

January 2026

Download Google Cloud Datalab product report

Buyer's Guide

Tableau Enterprise

January 2026

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

December 2025

Free Report: Google Cloud Datalab vs. Tableau Enterprise

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