SAS Data Management and Alteryx Designer are key competitors in the data management industry. Alteryx Designer is often seen as the superior tool due to its user-friendly interface and versatile features.
Features: SAS Data Management specializes in ETL processes, robust data integration, and offers a strong Master Data Management (MDM) component suitable for enterprise use. It includes support for cloud environments and comprehensive data analysis features. Alteryx Designer, on the other hand, is known for its ease of use with intuitive drag-and-drop features, effective data preparation capabilities, and integration and analytics, including machine learning tools.
Room for Improvement: SAS Data Management is criticized for its high cost, inflexible licensing, and complex installation process. Users also report issues with database connections and accessing SAS-generated data using other tools. Alteryx Designer is critiqued for its high pricing, slower processing times, and limited advanced data science tools. It also faces challenges with separated server and designer components, and users suggest improvements in integration and documentation.
Ease of Deployment and Customer Service: Both SAS Data Management and Alteryx Designer are primarily on-premises solutions, with Alteryx providing some cloud options. SAS Data Management's customer service is described as responsive yet complex, with varying quality. Alteryx Designer is praised for efficient customer service but faces challenges with technical support and documentation.
Pricing and ROI: SAS Data Management is considered expensive but offers a high ROI, particularly in industries like pharmaceuticals. Users find its pricing model robust yet costly. Alteryx Designer has high licensing costs which can hinder scalability, but delivers a strong ROI by reducing manual processing time and providing comprehensive analytics solutions. Despite the high pricing, users recognize its value in automation and workflow efficiency.
Reliable data plus less human intervention and less error result in a strong return on investment.
There are areas where they need to improve response time and overall competence.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
SAS Data Management can be improved in terms of the learning curve.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
From my experience, SAS Data Management is an expensive tool.
The main valuable aspect is the simplicity of use across all features.
It is very reliable, very time-saving, and the chances of error are minimal.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.
| Product | Mindshare (%) |
|---|---|
| SAS Data Management | 1.2% |
| Alteryx Designer | 1.1% |
| Other | 97.7% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
Alteryx Designer is a powerful tool for data transformation and automation, providing an intuitive drag-and-drop interface and robust analytic capabilities, including data preparation, workflow automation, and API connectivity.
Alteryx Designer streamlines data management by offering an intuitive interface that requires minimal technical knowledge. It enhances data transformation and automation tasks through strong predictive analytics, efficiently managing large data sets. Users can create sophisticated workflows, conduct geospatial analysis, and produce financial reports with ease. Despite its robust capabilities, some improvements are necessary in pricing, database connectivity, processing speed, reporting tools, and cloud integration. Users often seek better coding flexibility, enhanced data visualization, and improved collaboration features.
What are the key features of Alteryx Designer?In finance, marketing, and consultancy sectors, Alteryx Designer proves invaluable for implementing ETL processes, automating data integration, and preparation tasks. It supports decision-making by streamlining data pipelines and predictive modeling. Often linked with Tableau, SQL, or SharePoint, it simplifies complex tasks, fostering improved productivity within these industries.
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
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