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Tableau vs Teradata Data Lab comparison

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Tableau Logo
Tableau
Read 293 Tableau reviews
26,131 views|22,454 comparisons
89% willing to recommend
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Teradata Data Lab
Read 3 Teradata Data Lab reviews
519 views|450 comparisons
100% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
Tableau vs. Teradata Data Lab
May 2024
Executive Summary

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

Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Tableau vs. Teradata Data Lab Report (Updated: May 2024).
Download the complete report
770,616 professionals have used our research since 2012.
Featured Review
Daria Maslovets
Real time analysis, reliable, and easy to set up
Tableau helps the company to see insights. It will allow profit or loss to be predicted, but very flexible to react to changes. Tableau's dashboard... Read more →
Vidyasagar Duvvuri
You can schedule any testing you want to do in production.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most important feature in Tableau is visual analytics.""The solution helps users create dashboards and analyze data without relying on IT or product teams.""Tableau is easy to use.""Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us.""Tableau has improved my organization in a variety of ways, one of its uses being that of data analysis. A feature I have found most valuable is the ease of use and straightforwardness, in addition to the flexibility of Tableau.""The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau.""It is very easy to implement and to use.""The most valuable features are data discovery and fine visualizations."

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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."

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Cons
"I would like Tableau Prep to be integrated with Tableau Desktop. I would also like more customizations for tables.""It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy.""The price of Tableau is too high.""The only issue with the solution is with its prices at a regional level.""The solution could use more features in data analytics.""More integration with Python or something related to machine learning would be a good improvement.""Tableau is a company that does not respect partners.""The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."

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"​The initial setup was complex as we had to rewrite a lot of the code.​""​Their level of technical support is adequate. It could be better.​""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."

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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
    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 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
    Seeking lightweight open source BI software
    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 »
    Read all 8 answers   →
    Tableau vs. Business Objects - Which is a better solution for visualizati...
    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 »
    Read all 18 answers   →
    Which would you choose - Tableau or SAP Analytics Cloud?
    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 »
    Read all 6 answers   →
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    Earn 20 points

    Ranking
    2nd
    out of 114 in BI (Business Intelligence) Tools
    Views
    26,131
    Comparisons
    22,454
    Reviews
    13
    Average Words per Review
    537
    Rating
    8.7
    31st
    out of 114 in BI (Business Intelligence) Tools
    Views
    519
    Comparisons
    450
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Tableau Desktop, Tableau Server, Tableau Online
    Data Lab
    Learn More
    Tableau
    Teradata
    Overview

    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
    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
    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 Firm22%
    Healthcare Company10%
    Computer Software Company9%
    Transportation Company7%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise9%
    Large Enterprise78%
    Buyer's Guide
    Tableau vs. Teradata Data Lab
    May 2024
    Free Report: Tableau vs. Teradata Data Lab
    Find out what your peers are saying about Tableau vs. Teradata Data Lab and other solutions. Updated: May 2024.
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    770,616 professionals have used our research since 2012.

    Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. Tableau is rated 8.4, while Teradata Data Lab is rated 8.6. The top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". On the other hand, the top reviewer of Teradata Data Lab writes "You can schedule any testing you want to do in production". Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks, whereas Teradata Data Lab is most compared with Teradata Vantage, Databricks, Microsoft Power BI and Oracle DataScience.com Platform. See our Tableau vs. Teradata Data Lab report.

    See our list of best BI (Business Intelligence) Tools vendors.

    We monitor all BI (Business Intelligence) Tools 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.