

Erwin Data Intelligence and Erwin Data Modeler are leading solutions in the data management field. Erwin Data Intelligence offers a holistic view of data assets, while Erwin Data Modeler specializes in comprehensive data modeling.
Features: Erwin Data Intelligence features centralized business glossaries, robust data lineage capabilities, and Smart Data Connectors that bolster reverse-engineering and automation. Its comprehensive approach enhances collaboration within organizations. Erwin Data Modeler supports advanced data integration patterns with detailed physical and logical modeling, improving database design efficiency.
Room for Improvement: Erwin Data Intelligence could enhance its automation and user interface and improve integration with complex metadata environments. Erwin Data Modeler may benefit from better NoSQL support, a simplified user interface, and dynamic reporting features.
Ease of Deployment and Customer Service: Erwin Data Intelligence is versatile across hybrid and cloud environments, accompanied by excellent customer support. Erwin Data Modeler, prioritized for on-premises setups, offers reliable service but could improve response times.
Pricing and ROI: Erwin Data Intelligence is cost-effective, delivering time and cost savings through automation, ensuring a positive ROI. Erwin Data Modeler, though priced higher, justifies its cost with extensive capabilities, leading to substantial productivity gains and ROI.
If three engineers save ten hours each per month using erwin Data Modeler versus manual modeling, that equals three hundred sixty hours saved per year.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
If the modeling is compromised, then the entire structure will be compromised.
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.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Quest is committed to keeping the product robust.
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.
For technical support, they need to improve response time.
I would rate it probably a nine, making it a leader in data modeling.
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Performance can degrade during larger collaborations and requires tuning for optimal performance.
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.
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
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.
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.
erwin Data Intelligence could improve particularly in the UI, as they are using old technologies that are not modern and do not serve the current requirements of the modern market.
The dashboard in erwin Data Intelligence is customizable, and you can easily create different views.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
One of the key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
Migrating DDLs using erwin Data Modeler is easy because I just connect to the database and generate the data model from what is already implemented, making the process straightforward.
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.
| Product | Mindshare (%) |
|---|---|
| erwin Data Modeler | 0.5% |
| Quest Data Intelligence | 2.5% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 3 |
| Large Enterprise | 42 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.
Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.
What are the key features of Erwin Data Modeler?Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.
erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.
Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.
What are the key features of erwin Data Intelligence?Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.
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