Alteryx vs SAS Enterprise Miner comparison

Alteryx and SAS are both solutions in the Data Science Platforms category. Alteryx is ranked #5 with an average rating of 8.2, while SAS is ranked #23. Alteryx holds a 3.8% mindshare in Data Science Platforms, compared to SAS’s 2.1% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Alteryx

Read 86 Alteryx reviews

8,338 Views
4,669 Comparison Views

89% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,830 Views
1,427 Comparison Views

93% willing to recommend

Alteryx

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and Alteryx both compete in the advanced data analytics market. Alteryx appears to have the upper hand due to its ease of use and flexible deployment, which attracts a broader range of users.

Features: SAS Enterprise Miner is known for its strong statistical and machine learning methods. It provides a comprehensive suite for predictive modeling, offers robust statistical capabilities, and allows integration of SAS code in its processes. Alteryx is valued for its intuitive drag-and-drop interface, the capability to blend large datasets, and its support for a variety of data inputs. It also features built-in machine learning models and seamless integration with tools like Tableau.

Room for Improvement: SAS Enterprise Miner could benefit from a simpler user interface and reduced complexity in setup. Enhancing its ease of use would make it accessible to a wider audience. Improving integration capabilities with non-SAS tools may also boost its adaptability. Alteryx could work on enhancing its advanced analytical capabilities to better cater to data scientists. Further refinement of its complex features could help advanced users who seek deeper insights. Expanding its machine learning functionalities could also enhance its current offerings.

Ease of Deployment and Customer Service: SAS Enterprise Miner often requires a more complex setup process and technical expertise, which may be challenging for some users. It's best suited for organizations with an established IT infrastructure. Alteryx offers a straightforward deployment experience with user-friendly workflows. It receives praise for its effective customer support, helping users promptly resolve issues.

Pricing and ROI: SAS Enterprise Miner involves a higher initial cost, which might be a barrier for smaller businesses but offers substantial long-term ROI for analytical projects. Alteryx, with more flexible pricing and faster deployment, provides quicker ROI and is cost-effective, making it appealing to organizations looking for immediate results.

To learn more, read our detailed Alteryx vs. SAS Enterprise Miner Report (Updated: April 2026).

Buyer's Guide

Alteryx vs. SAS Enterprise Miner

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Alteryx

Ranking in Data Science Platforms

5th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Predictive Analytics (1st), Data Preparation Tools (1st)

SAS Enterprise Miner

Ranking in Data Science Platforms

23rd

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of May 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.8%, down from 6.1% compared to the previous year. The mindshare of SAS Enterprise Miner is 2.1%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Alteryx	3.8%
SAS Enterprise Miner	2.1%
Other	94.1%

Data Science Platforms

Featured Reviews

reviewer2797908

Senior Rpa Consultant at a computer software company with 51-200 employees

Time-saving workflows have transformed data preparation and predictive analysis for my team

Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.

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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Overall, I'd have to say the tool is pretty awesome."

"Alteryx significantly reduces the time spent searching for specific information."

"I would recommend the solution 100%. I really think it is a better platform than competitors."

"The initial setup is easy, straightforward, and simple, and within hours I can have the designer up and running."

"The solution does a good job with data transformation."

"The product's Macros probably are one of the most useful aspects."

"Alteryx makes it easy for the end customer to see clean data in a structured form."

"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."

More Alteryx pros

"I like the way the product visually shows the data pipeline."

"I found the ease of use of the solution the most valuable."

"The solution is very good for data mining or any mining issues."

"The most valuable feature is the decision tree creation."

"The solution is very good for data mining or any mining issues."

"Technical support has been good, and when I called them at the start of using the product with some issues they were very helpful."

"It enables statistical modeling of data using Base SAS (another product from the same vendor) as the backbone."

"The data processing of the solution is very good, easy to use, both for enterprise and personal use."

More SAS Enterprise Miner pros

Cons

"Due to some complexities in Alteryx, we are moving away from it."

"There are no ready models to use in analytics."

"In my opinion, Alteryx does have a zone to do predictive analytics, but it is very limited, so they could focus more on that."

"In some ways, I believe it is not yet as integrated as it could be."

"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 principal problem is the pricing. They're expensive products."

"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."

"Alteryx is not very robust when it comes to working on large sets of data."

More Alteryx cons

"The visualization of the models is not very attractive, so the graphics should be improved."

"We really don't like the protocols the solution offers. The solution is much more complex than other options."

"The solution is much more complex than other options."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"The product must provide better integration with cloud-native technologies."

"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 solution is quite expensive. The pricing is too high."

"The user interface of the solution needs improvement. It needs to be more visual."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"The license price of the solution is expensive."

"There is a license required for this solution."

"It's probably on the pricey side, but they provide some really useful ways to grow and test."

"Very transparent."

"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."

"I rate the tool's pricing a two out of ten."

"I rate the solution's pricing as a ten, as it is highly priced."

"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

"This solution is for large corporations because not everybody can afford it."

"The solution must improve its licensing models."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Retailer

Financial Services Firm

18%

Construction Company

12%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	16
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

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.

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What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

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...

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What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

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. - Featu...

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Product Reports

Buyer's Guide

Alteryx

May 2026

Download Alteryx product report

Buyer's Guide

Data Mining

May 2026

Download SAS Enterprise Miner product report

Also Known As

No data available

Enterprise Miner

Overview

Alteryx provides user-friendly, no-code tools for data blending, preparation, and analysis. Its drag-and-drop interface and in-database capabilities simplify integration with data sources while maintaining data integrity.

Alteryx offers a comprehensive suite for automation of data workflows, reducing manual tasks and enhancing processing efficiency. Known for robust predictive and spatial analytics, it effectively handles large datasets. The platform's flexibility allows for custom script deployments, supported by a strong community. However, Alteryx faces challenges with high pricing, lack of cloud support, and limited data visualization tools. Users express a need for more in-built data science functionalities, improved API integration, and a smoother learning curve. Connectivity and documentation gaps, along with complex workflows, are noted concerns, suggesting areas for enhancement. Alteryx is widely used for tasks like ETL processes, data preparation, predictive modeling, and report generation, supporting functions like financial projections and spatial analysis.

What features define Alteryx?

Data Blending: Combines data from multiple sources.
No-Code Tools: User-friendly drag-and-drop interface for ease of use.
Automation: Streamlines workflows and reduces manual tasks.
Predictive Analytics: Offers advanced forecasting capabilities.
Spatial Analytics: Processes geospatial data effectively.

What benefits should users consider?

Reduced Manual Labor: Automation minimizes repetitive tasks.
Data Integration: Seamlessly connects to various data sources.
Customization: Flexibility to deploy custom scripts.
Scalability: Quickly processes large datasets.
Community Support: Strong network for troubleshooting and guidance.

Alteryx is implemented across industries for diverse needs such as anomaly detection in finance, customer segmentation in marketing, and tax automation in auditing. Teams leverage its capabilities for data blending and predictive modeling to enhance operational efficiency and address specific business needs effectively.

Alteryx

SAS Enterprise Miner enables comprehensive data management and analytics, handling extensive data volumes with diverse algorithms for model creation. Its integration and flexibility in SAS code usage make it suitable for both enterprise and personal use.

SAS Enterprise Miner is recognized for its data pipeline visualization, data processing, and statistical modeling capabilities. Its user-friendly GUI and automation support data mining tasks, decision tree creation, and clustering. However, improvements are needed in its interface visualization, affordability, technical support, and integration with languages like Python and cloud-native tech. Enhanced performance, visualization, and model development auditing, along with text analytics in the main license, are desirable upgrades. Integration with Microsoft SQL and combined offerings remains a priority.

What are SAS Enterprise Miner's most important features?

Data Management: Handles large data volumes efficiently.
Analytics: Integrates diverse algorithms for accurate model creation.
Integration: Supports flexible incorporation of SAS code.
Automation: Enhances data mining tasks through automation.
Clustering: Facilitates extensive clustering operations.

What benefits or ROI should users look for in reviews?

Performance: Delivers remarkable efficiency in data processing tasks.
Compatibility: Seamless integration with other technologies.
Flexibility: Adaptability for enterprise and personal use cases.
User-Friendly: Intuitive GUI aids in simplifying complex tasks.

SAS Enterprise Miner is applied across industries like banking, insurance, and healthcare for data mining, machine learning, and predictive analytics. It aids in activities such as text mining, fraud modeling, and forecasting model creation, handling structured and unstructured data, and performing ad hoc analysis to model business processes and analyze data clusters.

SAS

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Alteryx vs. SAS Enterprise Miner

April 2026

Free Report: Alteryx vs. SAS Enterprise Miner

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