Google Data Studio vs Tableau comparison

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1,697 views|1,831 comparisons
90% willing to recommend
Tableau Logo
17,135 views|14,826 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Google Data Studio and Tableau based on real PeerSpot user reviews.

Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Google Data Studio vs. Tableau Report (Updated: March 2024).
770,458 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"This has improved our organization by allowing people to see their data and develop visualizations themselves.""The solution is free so that is a good feature.""Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like.""The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues.""Valuable features include advanced integrated analysis and easy implementation.""The ability to design complex data models and equations.""I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts.""I find it favorable regarding speed of development, ease of building, and flexibility."

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"From my perspective, it enables clients to better understand our data and make better decisions based on that information.""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.""It has made the reporting stage simple and enabled us to focus mainly on the ETL part""The most valuable feature is the user experience.""It allows us to basically understand and evaluate our numbers in an expedient manner.""Easy to create graphs and visualizations.""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.""Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."

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Cons
"Panels are not as easy to use as other data extraction UIs.""When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements.""The tool should come up with data modeling layer features that are present in other products like Power BI.""Stability and scalability an be improved for a full ten.""Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful.""There is a significant degree of sophistication required to compete with Tableau or Cognos.""There are issues with integration and I encountered limits and warnings, especially with my pivot table size.""Other tools might be worth considering if you need more advanced features or support for a larger user base."

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"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles.""The solution does have scalability issues.""Could have more integrations with different platforms.""The pricing is high. I'm using a student license, however, I know that even this license is very expensive. I've tried to have this product in our organization, however, it's quite expensive. We don't have the internal budget.""The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great.""Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python.""The architecture should be improved to better handle the data.""If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."

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Pricing and Cost Advice
  • "The tool is free."
  • "The solution is free but the Google Looker is expensive."
  • "The cost is quite affordable based on feature analysis."
  • More Google Data Studio Pricing and Cost Advice →

  • "For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
  • "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."
  • "Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
  • "Buy 50 at a time. Project your use base every three months, and project your requirements forward."
  • "Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
  • "I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
  • "The cost is high."
  • "Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
  • More Tableau Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    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 use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer:The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week… more »
    Top Answer:Google Data Studio allows you to set up notifications for dashboard changes, so you don't have to adjust the fields each time manually there's a modification. We connected it to BigQuery tables… more »
    Top Answer:We use Google Data Studio to track company KPIs, create the company dashboard, and generate sales reports to compare sales over time.
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    13th
    out of 50 in Reporting
    Views
    1,697
    Comparisons
    1,831
    Reviews
    5
    Average Words per Review
    390
    Rating
    7.4
    2nd
    out of 50 in Reporting
    Views
    17,135
    Comparisons
    14,826
    Reviews
    13
    Average Words per Review
    537
    Rating
    8.7
    Comparisons
    Also Known As
    Data Studio
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.

    Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights. 

    Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

    Tableau has many valuable key features:

    • Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
    • Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards. 
    • Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions. 
    • Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data. 
    • Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries. 
    • Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

    Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

    Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

    Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.

    Sample Customers
    Genesys, Shueisha
    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.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Manufacturing Company10%
    Financial Services Firm10%
    Educational Organization7%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise15%
    Large Enterprise61%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise47%
    Buyer's Guide
    Google Data Studio vs. Tableau
    March 2024
    Find out what your peers are saying about Google Data Studio vs. Tableau and other solutions. Updated: March 2024.
    770,458 professionals have used our research since 2012.

    Google Data Studio is ranked 13th in Reporting with 8 reviews while Tableau is ranked 2nd in Reporting with 293 reviews. Google Data Studio is rated 7.6, while Tableau is rated 8.4. The top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". 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 Data Studio is most compared with Amazon QuickSight, Looker, Microsoft Power BI, QlikView and Databricks, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo and SAS Visual Analytics. See our Google Data Studio vs. Tableau report.

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    We monitor all Reporting 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.