Google Data Studio vs Tableau vs Teradata Data Lab 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
Teradata Logo
519 views|450 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting.
To learn more, read our detailed Reporting Report (Updated: April 2024).
769,334 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
"I find it favorable regarding speed of development, ease of building, and flexibility.""I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts.""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.""This has improved our organization by allowing people to see their data and develop visualizations themselves.""The ability to design complex data models and equations.""Valuable features include advanced integrated analysis and easy implementation.""The ability to integrate with a great variety of data sources."

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"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.""The most valuable feature is the aggregation function.""It's easy to use.""It has a shallow learning curve and so you can go to market very, very, very quickly.""The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me.""It's very easy to set everything up.""You are able to see and follow trends.""It provides business users with a tool, so they are not dependent on IT."

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"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab.""It has increased the speed of reporting."

More Teradata Data Lab Pros →

Cons
"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.""Panels are not as easy to use as other data extraction UIs.""Other tools might be worth considering if you need more advanced features or support for a larger user base.""The tool should come up with data modeling layer features that are present in other products like Power BI.""It's not yet a replacement for a complete BI tool.""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."

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"I am a BI consultant. I have worked on different reporting tools, such as Power BI and MicroStrategy. As compared to other tools, Tableau lags behind in handling huge enterprise-level data in terms of robust security and the single integrated metadata concept. When we connect to large or very big databases, then performance-wise, I sometimes found Tableau a little bit slow. It can have the single metadata concept like other tools for the reusability of the objects in multiple reports.""The price could be better.""Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community.""Tableau is a company that does not respect partners.""Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time.""Other tools are more competitively priced.""It is not so great when it comes to data exchange/integration, data mining, etc.""We need big servers to perform the operations that we are doing. They should probably relook at its architecture."

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"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab.""​Their level of technical support is adequate. It could be better.​""​The initial setup was complex as we had to rewrite a lot of the code.​"

More Teradata Data Lab Cons →

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 →

  • "​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
  • "​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
  • More Teradata Data Lab 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:I find it favorable regarding speed of development, ease of building, and flexibility.
    Top Answer:The potential challenge, especially when considering a larger user base, is that the expenses can significantly add up… more »
    Top Answer:By integrating Data Studio into our services, we not only provide added value to our existing customers but also ensure… more »
    Top Answer:It depends on the Data architecture and the complexity of your requirement Some great tools in the market are Qlik… more »
    Top Answer:Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been… 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… more »
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    Rating
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    2nd
    out of 50 in Reporting
    Views
    17,135
    Comparisons
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    Rating
    8.7
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    Also Known As
    Data Studio
    Tableau Desktop, Tableau Server, Tableau Online
    Data Lab
    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.

    A Teradata Data Lab lets you explore and examine new ideas by combining new data with existing data so its easy to identify new trends and insight or react to immediate business issues.
    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.
    Volvo, Station Casinos, Network Solutions LLC, Telef‹nica de Argentina S.A., Bouygues Telecom
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Manufacturing Company11%
    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%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Healthcare Company10%
    Computer Software Company9%
    Government8%
    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%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise9%
    Large Enterprise79%
    Buyer's Guide
    Reporting
    April 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting. Updated: April 2024.
    769,334 professionals have used our research since 2012.