Alteryx vs Tableau comparison

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Alteryx Logo
2,428 views|1,406 comparisons
Tableau Logo
27,597 views|23,279 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Alteryx and Tableau based on real PeerSpot user reviews.

Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Alteryx vs. Tableau Report (Updated: March 2020).
745,775 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
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners.""The most valuable feature of Alteryx is user-friendliness.""The most valuable feature of Alteryx is the intelligence suite.""Alteryx makes it easy for the end customer to see clean data in a structured form.""I like the solution's velocity, the speed with which it processes data, and its ease of use.""The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system.""The most valuable feature of Alteryx is its unlimited handling capabilities.""The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."

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"The solution deployment was straightforward.""A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool.""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.""I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people.""The product has the best features for analytical views and filters.""Data handling, visualizations, and aesthetics of it are the most valuable features.""You can create attractive dashboards that inform users using Tableau.""The ability of filtering and segmentation of the data makes it very flexible compared to other tools."

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Cons
"I'd like it to be easier to work with PDF.""The data integration component could most likely be improved to increase enterprise scalability.""There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search.""If there is any way to make the learning curve less steep, that would be ideal.""We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative.""There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant.""Alteryx can improve the model management and deployment processing of large workloads.""Alteryx's predictive data models are pretty average and can be improved."

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"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need.""I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller.""​Conditional formatting could be an interesting feature to provide to final users.""When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers.""In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI.""The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough.""Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation.""There are not enough language options. It needs to be offered in more than just English."

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Pricing and Cost Advice
  • "The cost of the solution could be reduced."
  • "The price could be better."
  • "The desktop platform costs $5,000 per year. It's very costly."
  • "Opt for the three year subscription. It is 20% less than the yearly one."
  • "ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
  • "It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).​"
  • "Alteryx isn't extortionately expensive, but it's not cheap either."
  • "It's probably on the pricey side, but they provide some really useful ways to grow and test."
  • More Alteryx Pricing and Cost Advice →

  • "The license is very expensive."
  • "It is more expensive than other solutions."
  • "For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model."
  • "Basically, we prefer a permanent license. A one-time charge is much better."
  • "We are paying an annual licensing fee."
  • "Cost is where tools like MicroStrategy, Power BI, or Spotfire come into play. Cost-wise, Tableau is a little bit costlier than other tools such as Power BI. I have been using Tableau all these years, but about four years ago, Power BI came out at a very low cost. Their desktop version was free from the beginning. Power BI Desktop has always been free, whereas Tableau Desktop is costly. When it comes to cost, people prefer Power BI because it integrates very well with Office 365. You don't have to worry about integration with Teams or SharePoint."
  • "We pay for the enterprise license for Tableau. The licensing could be cheaper and more flexible."
  • "Licensing fees are paid on a yearly basis."
  • 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 the… Read more →
    Questions from the Community
    Top Answer:One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
    Top Answer:Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this It can handle over 2 billion rows of… more »
    Top Answer:I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. -… more »
    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
    Views
    2,428
    Comparisons
    1,406
    Reviews
    30
    Average Words per Review
    535
    Rating
    8.4
    Views
    27,597
    Comparisons
    23,279
    Reviews
    47
    Average Words per Review
    557
    Rating
    8.3
    Comparisons
    Also Known As
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

    With Alteryx You Can:

    • Prep, blend, and analyze data
    • Deliver faster, better business outcomes
    • Automate analytics and data science
    • Embed intelligent decisioning
    • Deploy and share analytics in hours

    Alteryx Features Include:

    Some of the most valuable Alteryx features include:

    Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

    Alteryx Can Be Used For:

    • Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.

    • Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
    • API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.

    • Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.

    • Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).

    • Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

    Alteryx Benefits

    Some of the benefits of using Alteryx include
    :

    • Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.

    • Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.

    • Excellent workflow compatibility.

    • Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.

    • Fast data loading: Alteryx has tools that make it very effective when working with big data sets.

    • No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.

    • Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

    Reviews from Real Users

    "Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

    "Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

    "The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

    "The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

    “A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

    "There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company





    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 Features

    Tableau has many valuable key features. Some of the most useful ones include:

    • Tableau dashboard: Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more. 
    • Sharing and collaboration: Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards. 
    • In-memory and live data: 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. 
    • Multiple data sources: 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. 
    • Advanced charts and visualizations: One of the key features of Tableau is its wide range of visualizations.
    • Maps: Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries. 
    • Robust security: 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 Benefits

    There are many benefits to implementing Tableau. Some of the biggest advantages the solution offers include:

    • Data visualization
    • Create interactive visualizations quickly
    • Easy to implement
    • Ability to handle large amounts of data
    • Use varying scripting languages 
    • Responsive dashboard and mobile support 

    Reviews from Real Users

    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.

    Offer
    Learn more about Alteryx
    Learn more about Tableau
    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    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
    REVIEWERS
    Computer Software Company15%
    Financial Services Firm11%
    Manufacturing Company11%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Manufacturing Company9%
    Computer Software Company9%
    Retailer6%
    REVIEWERS
    Financial Services Firm12%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization34%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business34%
    Midsize Enterprise15%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    REVIEWERS
    Small Business31%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise39%
    Large Enterprise48%
    Buyer's Guide
    Alteryx vs. Tableau
    March 2020
    Find out what your peers are saying about Alteryx vs. Tableau and other solutions. Updated: March 2020.
    745,775 professionals have used our research since 2012.

    Alteryx is ranked 1st in Predictive Analytics with 31 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 48 reviews. Alteryx is rated 8.4, while Tableau is rated 8.4. The top reviewer of Alteryx writes "Allows you to organize, document workflows, low-code capabilities, and quick data processing speed". 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". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and IBM SPSS Statistics, whereas Tableau is most compared with Microsoft BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. See our Alteryx vs. Tableau report.

    We monitor all Predictive Analytics 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.