Datameer vs Tableau comparison

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Datameer Logo
51 views|48 comparisons
40% willing to recommend
Tableau Logo
26,326 views|22,778 comparisons
89% willing to recommend
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
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  • "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
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    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
    1st
    out of 8 in BI on Hadoop
    Views
    51
    Comparisons
    48
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Views
    26,326
    Comparisons
    22,778
    Reviews
    14
    Average Words per Review
    534
    Rating
    8.5
    Comparisons
    Microsoft Power BI logo
    Compared 17% of the time.
    Amazon QuickSight logo
    Compared 10% of the time.
    Domo logo
    Compared 8% of the time.
    SAS Visual Analytics logo
    Compared 5% of the time.
    Databricks logo
    Compared 4% of the time.
    Also Known As
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview
    Datameer specializes in analysis of large volumes of data for business users of Apache Hadoop. The company's product, Datameer Analytics Solution (DAS), is a business integration platform for Hadoop and includes data source integration, an analytics engine with a spreadsheet interface designed for business users with over 200 analytic functions and visualization including reports, charts and dashboards. DAS is available for major Hadoop distributions including Apache, Cloudera, EMC Greenplum HD, IBM BigInsights, MapR, Yahoo! and Amazon.

    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
    Trustev, DetroitCrime Commission, Sears, Visa, citi, vivint, workday, Kabam, USA Olympic Team, CDW, BT, at&t, Bank of America, NetApp., expresso
    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
    No Data Available
    REVIEWERS
    Financial Services Firm12%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise47%

    Datameer is ranked 1st in BI on Hadoop while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 reviews. Datameer is rated 7.2, while Tableau is rated 8.4. The top reviewer of Datameer writes "It has got basic and advanced functions of SQL, but there are issues when saving the workbook or applying any filtering criteria". 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". Datameer is most compared with Databricks, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.

    We monitor all BI on Hadoop 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.