Alteryx vs SAS Enterprise Miner comparison

Alteryx and SAS are both solutions in the Data Science Platforms category. Alteryx is ranked #4 with an average rating of 8.2, while SAS is ranked #21. Alteryx holds a 3.7% 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 87 Alteryx reviews

10,078 Views
5,644 Comparison Views

89% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

2,341 Views
1,849 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: August 2026).

Buyer's Guide

Alteryx vs. SAS Enterprise Miner

August 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

4th

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

21st

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of August 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.7%, down from 6.0% compared to the previous year. The mindshare of SAS Enterprise Miner is 2.1%, up from 1.0% 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	2.1%
Other	94.2%

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

"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."

"Alteryx is the kind of software that a corporation would want to go with and to deploy for people who are not really data scientists and that have to use data, design dashboards, clean and prepare data and so on."

"The scheduling within the solution is excellent."

"We are taking the data from disparate systems and transforming and making the data available for further visualization."

"Our analyst’s time was cut from two days to one hour of data blending and the output was amazing!"

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

"Alteryx is easier to set up and implement and allowed us to also focus on different aspects of the business."

"Something that would take an hour or two hours to do it manually can take five to 10 minutes for Alteryx."

More Alteryx pros

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

"Overall it is a good solution."

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

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

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

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

"The setup is straightforward. Deployment doesn't take more than 30 minutes."

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

More SAS Enterprise Miner pros

Cons

"The price could be better; though we are satisfied with the solution, we feel the price to be a bit on the expensive side and we would like to improve on and escalate Alteryx, but find it too expensive at the moment to do so."

"I'd like to see more artificial intelligence business tools or features in Alteryx."

"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."

"Alteryx needs to focus on the supply chain aspect since detecting financial figures and data anomalies is currently insufficient."

"In terms of data extraction, during the sequel queries of servers as an example, you can structure your sequel query and it's fine, very readable, but once you run it, it crashes into one complex single line, and makes it very difficult."

"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."

"It would be great to create the final users' visualization within Alteryx."

"There are a few imputation techniques which they really need to include."

More Alteryx cons

"The preparation of both the mining and modeling process could be improved. The solution requires data and will reflect data, but the preparation of the data is not useful for end-users; we ended up having to do the preparation in another tool."

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

"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."

"The initial setup is challenging if doing it for the first time."

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

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

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

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

More SAS Enterprise Miner cons

Pricing and Cost Advice

"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)."

"Opt for the three year subscription. It is 20% less than the yearly one."

"The seat is too expensive."

"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."

"It can be a bit pricey, especially after the first year."

"The solution has a more costly license than other tools in the market."

"The desktop platform costs $5,000 per year. It's very costly."

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

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

19%

Manufacturing Company

Construction Company

Computer Software Company

Financial Services Firm

19%

Construction Company

13%

Educational Organization

11%

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 6% of the time

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Compared 6% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Alteryx

August 2026

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Buyer's Guide

Data Mining

August 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

August 2026

Free Report: Alteryx vs. SAS Enterprise Miner

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