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 8.3, while SAS is ranked #23. Alteryx holds a 3.7% mindshare in Data Science Platforms, compared to SAS’s 2.0% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Alteryx

Read 87 Alteryx reviews

9,063 Views
5,075 Comparison Views

89% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

2,033 Views
1,586 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: June 2026).

Buyer's Guide

Alteryx vs. SAS Enterprise Miner

June 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 June 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.7%, down from 6.1% compared to the previous year. The mindshare of SAS Enterprise Miner is 2.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Alteryx	3.7%
SAS Enterprise Miner	2.0%
Other	94.3%

Data Science Platforms

Featured Reviews

ManojBehera

Senior Staff Cyber Security Cloud Data Architect at GE Healthcare

Automated complex ETL workflows have reduced coding effort and improved data integration

One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.

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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

"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."

"Alteryx speeds up the time to obtain business answers/insights on data."

"Alteryx has made us more agile and increased the speed and effectiveness of decision making."

"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."

"There are a lot of good customization capabilities."

"The filtering is fast, and it provides a search tool that is great."

"I think the most valuable feature is the ease of use for my business scientists."

"The connectors are a very good feature."

More Alteryx pros

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

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

"The technical support is very good."

"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."

"SAS internal support is very qualified and if we have any issues, we contact them and trust that they can help."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

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

More SAS Enterprise Miner pros

Cons

"It is not cheap."

"They should work on its pricing."

"The data integration component could most likely be improved to increase enterprise scalability."

"More emphasis on extensible R and data augmentation interface design."

"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."

"A colleague of mind mentioned that the solution should have more options for the visualization of data."

"Lacks an open source edition which would be helpful."

"When a process completes there is a notification, but the notification does not include the process's name."

More Alteryx cons

"The license is really expensive. This solution is for large corporations because not everybody can afford it."

"Virtualization could be much better."

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

"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 stability isn't perfect. We have issues with accuracy in some AI forecasting areas, and the accuracy is not as good as the clients need it to be."

"Plus it is prohibitively expensive and is not available with perpetual licensing."

"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 designer has a list price of $5,995 USD."

"If one is a high price, and ten is a low price, I rate the tool's price as a one. The tool is expensive."

"The pricing is $5000 per year per production license."

"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."

"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."

"It is an expensive solution."

"There is a license required for this solution."

"We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money."

More Alteryx pricing and cost advice

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Construction Company

Computer Software Company

Financial Services Firm

21%

Construction Company

13%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	16
Large Enterprise	56

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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Compared 11% of the time

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Compared 7% of the time

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Compared 7% of the time

IBM SPSS Statistics vs SAS Enterprise Miner

Compared 5% of the time

Weka vs SAS Enterprise Miner

Compared 4% of the time

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Product Reports

Buyer's Guide

Alteryx

June 2026

Download Alteryx product report

Buyer's Guide

Data Mining

June 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

June 2026

Free Report: Alteryx vs. SAS Enterprise Miner

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