

SAS Data Management and Erwin Data Intelligence are powerful competitors in the data management sector, focusing on data lineage, ETL processes, and integration capabilities. Based on feature set evaluations, SAS Data Management appears to hold a slight edge due to its comprehensive approach to data standardization and user-friendly analytics capabilities.
Features: SAS Data Management offers exceptional data standardization, integration, and governance tools, making it efficient for ETL processes. Its robust data lineage, metadata management, and language flexibility enhance usability in various data environments. Erwin Data Intelligence is recognized for its single source of truth, offering strong data lineage and business glossaries. Its notable mapping capabilities are bolstered by Smart Data Connectors, facilitating automated code generation and good integration with existing systems.
Room for Improvement: SAS Data Management faces issues with high costs and complexity in non-ETL functions. It needs better licensing flexibility and improvement in integration with cloud services. Erwin Data Intelligence could enhance its user interface and integrate more AI features. Its automation processes and connectors also require strengthening, particularly in open-source environments, despite its praised metadata and governance capabilities.
Ease of Deployment and Customer Service: SAS Data Management primarily operates on-premises and is backed by reputable technical support, though service quality varies by region. Erwin Data Intelligence provides mixed deployment options, including on-premises and public cloud, with generally well-regarded customer service. Support accessibility at deeper technical levels presents challenges for some users.
Pricing and ROI: SAS Data Management is positioned at a higher price point, potentially limiting accessibility for smaller organizations, though it boasts high ROI in sectors like pharmaceuticals. Erwin Data Intelligence is more economical, appealing to those mindful of budgets through its user-based licenses and infrastructure fees. Both emphasize data reliability and accuracy, with distinct ROI benefits tailored to specific use cases.
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.
We often have to escalate and call multiple times to get a response to our cases.
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.
When we tried to connect erwin Data Intelligence to ERP on Oracle Cloud, specifically Oracle Fusion, we encountered many problems.
It is good for small and medium enterprises, but larger enterprises with huge amounts of metadata might face some issues.
From my perspective, I would rate the stability of erwin Data Intelligence as an eight or nine out of ten.
If you need to connect to Postgres or MongoDB, you need to request an ad hoc scanner for that specific purpose, and this ad hoc solution works only once and is not automated or scheduled.
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 mind maps clarify for the business the related business terms and the relation between the business terms and other technical terms and technical data products, and they are very effective.
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 | Mindshare (%) |
|---|---|
| erwin Data Intelligence | 1.9% |
| SAS Data Management | 1.5% |
| Other | 96.6% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
| 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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