Alteryx vs Domino Data Science Platform comparison

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Alteryx Logo
29,595 views|19,218 comparisons
Domino Data Lab Logo
3,415 views|2,742 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Alteryx and Domino Data Science Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: November 2022).
655,774 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
  • "The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
  • "Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
  • "My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."
  • "In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."
  • "There is a license required for this solution."
  • "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."
  • More Alteryx Pricing and Cost Advice →

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    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:The scalability of the solution is good; I'd rate it four out of five.
    Top Answer:The predictive analysis feature needs improvement.
    Top Answer:We primarily use the solution for customer retention, but there are a lot of use cases for this particular product.
    Ranking
    2nd
    Views
    29,595
    Comparisons
    19,218
    Reviews
    29
    Average Words per Review
    537
    Rating
    8.1
    18th
    Views
    3,415
    Comparisons
    2,742
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Domino Data Lab Platform
    Learn More
    Domino Data Lab
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    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





    Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

    Offer
    Learn more about Alteryx
    Learn more about Domino Data Science Platform
    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    Top Industries
    REVIEWERS
    Computer Software Company16%
    Manufacturing Company14%
    Pharma/Biotech Company8%
    Energy/Utilities Company8%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company15%
    Manufacturing Company8%
    Comms Service Provider7%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company12%
    Insurance Company12%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business34%
    Midsize Enterprise16%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise9%
    Large Enterprise81%
    Buyer's Guide
    Data Science Platforms
    November 2022
    Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: November 2022.
    655,774 professionals have used our research since 2012.

    Alteryx is ranked 2nd in Data Science Platforms with 30 reviews while Domino Data Science Platform is ranked 18th in Data Science Platforms. Alteryx is rated 8.0, while Domino Data Science Platform is rated 0.0. The top reviewer of Alteryx writes "Plenty of capability and works well for those who don't want to program and don't use algorithms heavily". On the other hand, Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, SAS Enterprise Guide and Microsoft Azure Machine Learning Studio, whereas Domino Data Science Platform is most compared with Amazon SageMaker, Databricks, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Google Cloud Datalab.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms 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.