

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.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
I have seen investment using SAS Enterprise Guide as it has some capabilities which require very little manpower, and also scheduling jobs and flows reduces human intervention.
Customer support from Alteryx has been amazing.
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
I contacted customer support once or twice, and they were quick to respond.
The customer support of SAS is always outstanding.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Alteryx is scalable, and I would give it eight out of ten.
SAS Enterprise Guide is highly scalable.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
Some data visualization tools may be improved by SAS Enterprise Guide.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
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.
The best feature of SAS Enterprise Guide is scheduling jobs and flows.
| Product | Mindshare (%) |
|---|---|
| Alteryx | 8.2% |
| SAS Enterprise Guide | 7.6% |
| Other | 84.2% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 16 |
| Large Enterprise | 56 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 6 |
| Large Enterprise | 16 |
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?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.
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?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.
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