Google Cloud Datalab vs Tableau comparison

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3,578 views|3,217 comparisons
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42,493 views|33,006 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Google Cloud Datalab and Tableau based on real PeerSpot user reviews.

Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization.
To learn more, read our detailed Data Visualization Report (Updated: November 2022).
653,757 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:
Pricing and Cost Advice
Information Not Available
  • "At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."
  • "The professional version of Tableau is quite expensive."
  • "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 solution is very expensive. If you have many users then it is going to cost your company a lot of money."
  • "The price of Tableau is high, although there are different types of licenses available."
  • "It's an annual fee with everything included but it's quite expensive."
  • "The solution is expensive but it depends on the customer's needs which will determine the cost of the licensing."
  • "If they want to be competitive in the market, the price must be improved."
  • More Tableau Pricing and Cost Advice →

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    Comparison Review
    Guillermo (Bill) Cabiro
    I do use both Tableau and QlikView. Although very different, I really like both solutions. They belong to the new BI generation known as Interactive Visual Analytics. In my opinion, QlikView has a more intuitive interface for regular users or executives that are not technical experts but the development side is a little more complex. Up to version 12 QlikView did not provide drag & drop features. If a user wanted to see something not included in the application the new object had to be created by a power user or developer because Qlikview's scripting has somewhat of a learning curve. On the positive side, QlikView's scripting is a great asset as it functions as an ETL allowing the integration of hundreds of different data sources into the same visual app. Another feature that’s extremely useful is Qlik’s proprietary Associative Model that allows the users to visualize data relationships that exist as well as those that do not. Tableau on the other hand is a lot easier to use for developers, analysts or power users who need to connect, manipulate and visualize data rather quickly. While this makes Tableau a better fit for the more analytical crowd, it may not be as appealing or intuitive to the regular or casual business users as QlikView is. Tableau has full pivot, drag & drop and drill down capabilities that are great for developers or power users. They can rotate measures and dimensions and graph them instantly using visualization best practices as suggested by… Read more →
    Questions from the Community
    Top Answer:All of the features of this product are quite good.
    Top Answer:The interface should be more user-friendly. The security should be easier to set up. TensorBoard is available but it is hard to use.
    Top Answer:We are using this solution to help manage personnel and to see if everyone is in the right place.
    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
    15th
    out of 58 in Data Visualization
    Views
    3,578
    Comparisons
    3,217
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    1st
    out of 58 in Data Visualization
    Views
    42,493
    Comparisons
    33,006
    Reviews
    95
    Average Words per Review
    580
    Rating
    8.2
    Comparisons
    Also Known As
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    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.

    Tableau helps people and organizations become more data-driven as the trusted leader in analytics.

    The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.

    People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation

    Evaluation Guide: How to choose the right BI & analytics platform

    Redefining the role of IT in modern BI world

    Offer
    Learn more about Google Cloud Datalab
    Learn more about Tableau
    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.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Comms Service Provider13%
    Computer Software Company11%
    Educational Organization9%
    REVIEWERS
    Financial Services Firm12%
    Computer Software Company11%
    Healthcare Company8%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm14%
    Comms Service Provider8%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Data Visualization
    November 2022
    Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: November 2022.
    653,757 professionals have used our research since 2012.

    Google Cloud Datalab is ranked 15th in Data Visualization while Tableau is ranked 1st in Data Visualization with 96 reviews. Google Cloud Datalab is rated 0.0, while Tableau is rated 8.2. On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". Google Cloud Datalab is most compared with Databricks, Microsoft Azure Machine Learning Studio, IBM Watson Studio, IBM SPSS Modeler and RStudio Connect, whereas Tableau is most compared with Microsoft BI, Amazon QuickSight, SAP Analytics Cloud, SAS Visual Analytics and Domo.

    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.