

Alteryx and SAS Enterprise Guide are major competitors in the data analytics market. Based on user reviews, Alteryx might have the upper hand with its automation and geospatial analysis features that enhance user experience significantly.
Features: Alteryx has strong capabilities in automation, data preparation, and geospatial analysis, supported by its easy drag-and-drop interface. It is scalable and handles real-time processing efficiently. SAS Enterprise Guide shines with its robust reporting and querying capabilities, offering extensive statistical analysis tools and SQL integration.
Room for Improvement: Alteryx could benefit from better in-database connectivity, enhanced visualization tools, and an improved cost structure. SAS Enterprise Guide users would like to see enhancements in machine learning features, visualizations, and a more intuitive interface.
Ease of Deployment and Customer Service: Alteryx is commonly deployed on-premises with strong customer support bolstered by its extensive online community. SAS Enterprise Guide is generally reliable for on-premises and hybrid deployments, offering stable operations and comprehensive documentation but has less community support compared to Alteryx.
Pricing and ROI: Both Alteryx and SAS Enterprise Guide are considered expensive. Alteryx often has a higher price point but offers high ROI through time savings in data preparation and process automation. SAS Enterprise Guide, while costly, provides competitive pricing per seat. Both solutions deliver substantial value through enhanced analytics and increased productivity.
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 | 15.1% |
| SAS Enterprise Guide | 7.7% |
| Other | 77.2% |


| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 6 |
| Large Enterprise | 16 |
Alteryx enhances efficiency by automating data preparation and transformation through a user-friendly drag-and-drop interface, catering to non-technical users and business professionals. It supports data blending, predictive analytics, and diverse data integration capabilities.
Alteryx streamlines data manipulation and complex transformations, benefiting industries such as finance and marketing with its ability to connect to multiple data sources and automate workflows. The platform supports analytics and machine learning model building, reducing manual efforts in ETL processes. Despite its capabilities, improvements are needed in database connectivity, pricing flexibility, and cloud service integration. Users desire enhancements in reporting features, visualization, and technical support to optimize its full potential. Machine learning and predictive analytics features require advancements to improve user experience and broaden accessibility through better connectors and reduced licensing costs.
What are Alteryx's key features?
What benefits and ROI should be looked for in reviews?
In finance and marketing, organizations leverage Alteryx to automate data tasks, connect diverse sources, and generate analytics models and dashboards efficiently. Its no-code approach aids in rapid data preparation, cleansing, and analysis, empowering business users to engage in predictive and prescriptive analytics 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.
We monitor all Data Preparation Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.