Alteryx vs SAS Enterprise Guide comparison

Alteryx and SAS are both solutions in the Data Preparation Tools category. Alteryx is ranked #1 with an average rating of 8.2, while SAS is ranked #4. Alteryx holds a 8.7% mindshare in DPT, compared to SAS’s 7.9% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 89% of SAS users who would recommend it.

Alteryx

Read 86 Alteryx reviews

8,338 Views
750 Comparison Views

89% willing to recommend

SAS Enterprise Guide

Read 24 SAS Enterprise Guide reviews

1,331 Views
1,304 Comparison Views

89% willing to recommend

Alteryx

SAS Enterprise Guide

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Executive SummaryUpdated on Sep 10, 2024

Alteryx and SAS Enterprise Guide are leading data analytics tools. Alteryx is appreciated for its ease of use and support, while SAS Enterprise Guide is noted for its robust features and analytical capabilities.

Features: Alteryx is highly rated for its intuitive workflow automation, seamless data integration, and extensive data preparation capabilities. SAS Enterprise Guide offers advanced statistical analysis, powerful data manipulation tools, and comprehensive data management. Both products are feature-rich, with SAS having a slight edge in advanced analytics.

Room for Improvement: Alteryx users often mention the need for more advanced data visualization tools, better handling of big data, and enhanced machine learning capabilities. SAS Enterprise Guide users seek improvements in the initial setup process, performance issues, and user interface simplification. Both products have areas for enhancement, but their focal points differ.

Ease of Deployment and Customer Service: Alteryx is praised for its straightforward deployment process and responsive customer service, with minimal technical difficulties. SAS Enterprise Guide offers comprehensive support, but its complex deployment procedure could benefit from simplification. Alteryx is generally viewed as easier to deploy with superior customer service.

Pricing and ROI: Alteryx tends to have a higher initial setup cost, but its ROI is often rated higher due to its efficiency and time-saving capabilities. SAS Enterprise Guide, while having a lower setup cost, offers substantial ROI through its advanced features, justifying the investment for many users. Alteryx is more costly upfront but may offer a higher ROI, whereas SAS Enterprise Guide balances initial expense with long-term value.

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

Buyer's Guide

Alteryx vs. SAS Enterprise Guide

April 2026

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Helped 893,438 peers since 2012

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 Preparation Tools

1st

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Predictive Analytics (1st), Data Science Platforms (5th)

SAS Enterprise Guide

Ranking in Data Preparation Tools

4th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Preparation Tools category, the mindshare of Alteryx is 8.7%, down from 27.2% compared to the previous year. The mindshare of SAS Enterprise Guide is 7.9%, down from 17.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Preparation Tools Mindshare Distribution
Product	Mindshare (%)
Alteryx	8.7%
SAS Enterprise Guide	7.9%
Other	83.4%

Data Preparation Tools

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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reviewer2232579

Data Analyst at a financial services firm with 10,001+ employees

Provides speedy server access for data analysis and modeling but lacks stability and needs to improve its visualization capabilities

Recently, we realized that SAS Enterprise Guide is not so stable and gives us some outputs which are not suitable, but it works well on rerunning the program. Sometimes it's quite hard to report its stability issues. Most of the time, its stability issues need to be reported with which our colleagues help. Another issue is that SAS Enterprise Guide gives us hardware output, but when we run a program that does not run correctly, we don't know what's wrong even though the output is good. When we try to report to technical support and they run the program, they cannot find anything from the log, but it is the same issue we find in the solution when we run it afterward. Sometimes we need to restart the computer, and it works, which is not so good. We set up quite a few programs to autorun, and sometimes the customer is not confident that the result would be good. It would be easier to use the solution if it had more functions. The solution needs to be more stable. The additional feature I want to see in the future would be visualization because, currently, the visualization from SAS is a bit like Python or similar ones in general.

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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 of Alteryx is user-friendliness."

"Alteryx has impacted positively by reducing that time and increasing efficiency, making data-driven decisions much easier and reducing overall operational costs."

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

"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."

"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."

"The product's most valuable features include its ease of use for non-technical users and machine learning capabilities."

"I have a lot of business use cases where the ROI is less than a year, and sometimes even in three months."

"I like the solution's velocity, the speed with which it processes data, and its ease of use."

More Alteryx pros

"Statistical functionality and basic database interaction can become very straightforward for business users that don't have a background in SQL and data analysis."

"It has improved tremendously moving from providing an easy menu-driven system to also providing an excellent platform for developing and running full production systems, with minimal coding, which enabled increasing popularity among many non-programmers."

"In Daman, I had used the data module, where you can join the table and take whatever data we require for our work. You join tables and create columns as you wish, then analyze data in various ways depending on what the problem is. We used it to detect fraud, abnormalities, anomalies, abnormal trends, etc. It's also good for exporting and importing tables."

"We are able to work on the server, and I can copy a data set and share it with someone in my team. Similarly, if I want some data from them, I can get it. Being able to work on the server and being able to switch from one user to another is a good thing. It is reliable and powerful, and its community is very wide."

"It has definitely improved our communication with senior management."

"Statistical functionality and basic database interaction can become very straightforward for business users that don't have a background in SQL and data analysis."

"We are using SAS Enterprise Guide on a basic level and the Pro SQL and other procedures within it are the most useful right now. Additionally, it has a wide feature set and capabilities"

"The data cleaning part is valuable. SAS is a very powerful tool to work with and connect with different sources. We have several tables, and we are looking up tables from one place to another place. We are connecting with different data sources. The data is not coming from one source. There are several sources of data, and we have information coming from different sources. There are some flat files, and there is some information from the data warehouse."

More SAS Enterprise Guide pros

Cons

"The GUI interface functions but it could stand to be updated to a more modern look and feel."

"They should make the solution user-friendly for nontechnical people by giving specific names to the options."

"It is not cheap."

"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."

"Even when it already includes some AI models, this area could be improved."

"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."

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

"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."

More Alteryx cons

"Our data warehouse is built on the Netezza database. We have SAS BI, and we populate the Netezza database. When we have tables with, for example, a hundred million rows in Netezza, SAS Enterprise Guide doesn't work. It doesn't return any results. It works for around 30 to 40 million rows, but it is not working for anything more than that. This issue is only with the Netezza database. With Oracle, it is quite good. They can improve its performance with the Netezza database. There should be one unique tool that includes SAS Data Integration Studio and SAS Enterprise Guide for more integration capabilities. With SAS Enterprise Guide, it is not possible to create connections and libraries and build transformations that can be used for other projects. This tool should have all capabilities that SAS Enterprise Guide does not have. Such a tool would be perfect because it will be used by developers and business users at the same time. In addition to the integration capabilities, they should also provide more deployment capabilities. There should be an option to easily create SAS packages and export them from one environment to another. There could also be a possibility to connect with R and Python. Open-source tools are hot in the market nowadays, and it would be good to extend its capabilities."

"Setting up SAS Enterprise Guide is somewhat messy and complex, but it works for what we do."

"Setting up SAS Enterprise Guide is somewhat messy and complex."

"There needs to be a community of SAS Enterprise Guide users for assistance. For example, as they do for Python or SQL."

"The product is missing a visualization component so we have to use a separate tool for visualization."

"More bi-directional integration with the SAS Studio suite of tools is needed."

"Sentiment analytics would be a great feature to add into EG, as well as compatibility with machine learning languages, such as Python and R."

"I would like it to give more information rather than just a forever loop that forces you to shut down the system. Give you more error messages without stopping the entire project, or even the entire application. That it displays more error messages rather than terminating the application."

More SAS Enterprise Guide cons

Pricing and Cost Advice

"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."

"It's very expensive. I'd rate it a four out of ten in terms of the price. It's great for big companies but not for small companies."

"It has a good price."

"Very transparent."

"Alteryx isn't extortionately expensive, but it's not cheap either."

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

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

"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."

More Alteryx pricing and cost advice

"The pricing and associated costs are substantial."

"In general, SAS has high prices, which is a reason why some clients don't use SAS solutions. The licensing is on a yearly basis."

"It is expensive. We get a different price based on our corporate rate. So, I'm not sure what the general cost is because we got a special rate for it."

"I did look at the prices a few years ago, and I believe it was approximately $1,000 for a yearly subscription at that time."

"Management liked it a lot because the license per seat was cheaper than a traditional SAS environment."

"It is very expensive. We have a basic license, and there are many features that are not available with the basic version."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Retailer

Financial Services Firm

26%

Healthcare Company

11%

Manufacturing Company

10%

Construction 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	16

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...

See all answers

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 18% of the time

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Compared 13% of the time

Unifi vs SAS Enterprise Guide

Compared 12% of the time

Altair Monarch vs SAS Enterprise Guide

Compared 10% of the time

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Product Reports

Buyer's Guide

Alteryx

May 2026

Download Alteryx product report

Buyer's Guide

SAS Enterprise Guide

April 2026

Download SAS Enterprise Guide product report

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 Guide features a user-friendly visual interface that simplifies data exploration and management. With its compatibility with other software, it supports data manipulation, analysis, and preparation across industries.

SAS Enterprise Guide offers a range of functionalities ideal for both novice and advanced users. Its visual interface, combined with features like the query builder and drag-and-drop tools, enables data exploration without coding. The tool shines in data management, predictive analytics, and cleaning, providing a platform compatible with other software and facilitating large dataset handling. The reporting and ETL capability further support comprehensive data strategies. Despite strengths, it could benefit from better machine learning integration and enhanced visualization without coding. Challenges also include stability issues, limited community support, and performance faltering with large datasets, especially in environments like Netezza.

What are the key features of SAS Enterprise Guide?

Visual Interface: Simplifies data exploration with drag-and-drop functionality.
Query Builder: Facilitates data manipulation without extensive coding.
Data Management: Offers strong capabilities in data organization and handling.
Predictive Analytics: Provides tools for forecasting and advanced analysis.
ETL Processes: Streamlines data extraction, transformation, and loading.

What benefits should users look for in reviews?

Enhanced Compatibility: Works seamlessly with other software and systems.
Handling Large Datasets: Supports extensive data collections effectively.
Report Generation: Allows for comprehensive and detailed reporting.
Support for Non-Programmers: Designed to be accessible without advanced coding skills.

SAS Enterprise Guide finds application in industries like banking, pharmaceuticals, and healthcare, mainly for tasks involving data manipulation, statistical analysis, and quality assurance. Its ability to handle large datasets while providing an interface for non-programmers makes it a choice for data modeling and ETL processes. Organizations leverage its integration capabilities for data strategies, enabling agility in data processing and insights generation.

SAS

Sample Customers

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

Canary Islands Statistics Institute

Buyer's Guide

Alteryx vs. SAS Enterprise Guide

April 2026

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