

SAS Data Management and erwin Data Intelligence are both formidable players in the data management sphere. SAS Data Management seems to have the upper hand due to its advanced ETL and data integration capabilities, which are crucial for enterprises focusing on data quality and governance.
Features: SAS Data Management supports robust ETL processes, extensive data integration, and powerful automation scripts, enabling enterprises to swiftly develop and execute data solutions. Its metadata management and governance tools are highly valued, especially for ensuring data security and accessibility. On the other hand, erwin Data Intelligence focuses on metadata management, providing a comprehensive data catalog and enhanced data lineage features. This allows business users to achieve data visibility, simplifying data governance and adaptability through its centralized platform. Erwin’s Smart Data Connectors bolster code generation and data mapping capabilities, enhancing process automation.
Room for Improvement: SAS Data Management users highlight the need for more flexible licensing options, streamlined cloud integrations, and a user-friendly interface to reduce administrative overhead. Meanwhile, erwin Data Intelligence could benefit from improved automation support, better handling of large datasets, and enhanced AI functionalities. Both solutions face certain integration challenges, with licensing being a common complication, although erwin excels in environments demanding detailed data curation.
Ease of Deployment and Customer Service: SAS primarily offers on-premise and hybrid deployment options, coupled with responsive technical support, yet customer service experiences can vary. In contrast, erwin’s diverse cloud deployment strategies, alongside positive feedback for customer service and technical support, provide a competitive edge, although some areas still require attention.
Pricing and ROI: SAS Data Management is perceived as expensive, with high licensing fees proving a barrier for smaller organizations. Despite this, it offers substantial ROI through enhanced data management capabilities. Erwin Data Intelligence presents more competitive pricing, particularly advantageous for large businesses focusing on comprehensive governance strategies. Both systems are acknowledged for driving significant ROI by boosting data reliability and operational efficiency.
Compared to competitor products like Collibra, erwin Data Intelligence is more cost-effective, providing a data catalog and data lineage views without the high costs associated with governance software.
Quest technical support is very good, as they provide not only a technical help desk but also a data automation team that creates and customizes smart connectors, offering a wealth of skilled support.
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.
Regarding scalability, I would rate erwin Data Intelligence as an eight or nine for its ability to expand.
From my perspective, I would rate the stability of erwin Data Intelligence as an eight or nine out of ten.
The dashboard in erwin Data Intelligence is customizable, and you can easily create different views.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
From my experience, SAS Data Management is an expensive tool.
This feature is probably the most valuable because it allows for automated reverse engineering of lineage.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
| Product | Market Share (%) |
|---|---|
| erwin Data Intelligence | 1.9% |
| SAS Data Management | 1.4% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.
Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.
What are the main features of Erwin Data Intelligence?In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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