Alteryx vs Domino Data Science Platform vs SAS Enterprise Miner comparison

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Alteryx Logo
12,814 views|7,448 comparisons
88% willing to recommend
Domino Data Lab Logo
2,713 views|2,334 comparisons
100% willing to recommend
SAS Logo
1,119 views|911 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
768,578 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
"I like the fact that you can easily blend data from different platforms.""Alteryx is so advanced. It's just drag and drop.""It is efficient in optimizing our ability to get information.""The filtering is fast, and it provides a search tool that is great.""The most valuable feature of Alteryx is its unlimited handling capabilities.""The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system.""The Alteryx designer has been the most useful feature in the solution.""Alteryx makes it easy for the end customer to see clean data in a structured form."

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"The scalability of the solution is good; I'd rate it four out of five."

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"The most valuable feature is the decision tree creation.""The solution is very good for data mining or any mining issues.""he solution is scalable.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""The setup is straightforward. Deployment doesn't take more than 30 minutes.""The technical support is very good.""Good data management and analytics.""I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

More SAS Enterprise Miner Pros →

Cons
"The solution could improve in the visualization.""Alteryx can improve the model management and deployment processing of large workloads.""It is a little bit pricey.""They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently.""I honestly can't think of anything that needs to be improved.""We are hoping that the NLP features will also support Chinese characters.""The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete.""The data integration component could most likely be improved to increase enterprise scalability."

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"The predictive analysis feature needs improvement."

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"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.""The user interface of the solution needs improvement. It needs to be more visual.""The ease of use can be improved. When you are new it seems a bit complex.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""Virtualization could be much better.""Technical support could be improved.""The initial setup is challenging if doing it for the first time.""The visualization of the models is not very attractive, so the graphics should be improved."

More SAS Enterprise Miner Cons →

Pricing and Cost Advice
  • "A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
  • "​Very transparent.​"
  • "The seat is too expensive."
  • "It can be a bit pricey, especially after the first year."
  • "The pricing is $5000 per year per production license."
  • "We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
  • "There are some implementation services and internal effort costs at the beginning but there is nothing else."
  • "The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
  • More Alteryx Pricing and Cost Advice →

    Information Not Available
  • "This solution is for large corporations because not everybody can afford it."
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "The solution must improve its licensing models."
  • More SAS Enterprise Miner 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… 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… more »
    Top Answer:I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products Regarding Alteryx I can say… more »
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    Top Answer:I like the way the product visually shows the data pipeline.
    Top Answer:The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a… more »
    Top Answer:The product must provide better integration with cloud-native technologies.
    Ranking
    3rd
    Views
    12,814
    Comparisons
    7,448
    Reviews
    29
    Average Words per Review
    513
    Rating
    8.3
    18th
    Views
    2,713
    Comparisons
    2,334
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    15th
    Views
    1,119
    Comparisons
    911
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    Domino Data Lab Platform
    Enterprise Miner
    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.

    SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Top Industries
    REVIEWERS
    Computer Software Company15%
    Financial Services Firm11%
    Manufacturing Company11%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Manufacturing Company10%
    Computer Software Company9%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Insurance Company11%
    Manufacturing Company10%
    Computer Software Company8%
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University12%
    Educational Organization8%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise15%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise7%
    Large Enterprise85%
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    768,578 professionals have used our research since 2012.