

Visual Paradigm and erwin Data Modeler are key players in the data modeling software category. Visual Paradigm may have an edge for end-user versatility and ease of use, while erwin Data Modeler is robust in handling complex data integration for large enterprises.
Features: Visual Paradigm offers a wide range of modeling methodologies including ArchiMate, UML, and BPMN. It integrates extensively and is user-friendly with many templates. erwin Data Modeler excels in complex data modeling, offering exceptional reverse engineering and detailed data integration which supports enterprise-level tasks.
Room for Improvement: Visual Paradigm's user experience could benefit from more affordable pricing, better flexibility in diagram options, and improved performance with large models. Compatibility with additional tools and inclusion of process mining features would be beneficial. erwin Data Modeler could modernize its interface, enhance support for big data platforms, and improve its integration with current technologies. It could also enhance performance, especially with large models, and develop version control and reporting features.
Ease of Deployment and Customer Service: Visual Paradigm supports both on-premises and cloud deployments and is known for responsive and personalized customer service. erwin Data Modeler mostly targets on-premises environments with limited cloud deployment options, and users highlight its quick and efficient technical support.
Pricing and ROI: Visual Paradigm is affordable with tiered subscription plans and a free version, yielding excellent ROI for smaller teams. erwin Data Modeler is considered expensive for small businesses but offers strong ROI for large enterprises needing advanced data modeling capabilities.
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.
The product did what it was supposed to do for the documentation development I was engaged in.
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.
The tool was easy enough to use.
We didn't use customer service extensively, but our questions were answered when needed.
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.
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.
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.
The product can always get better as the industry changes.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
The free version of Visual Paradigm does not incur any setup costs and offers a set of usable features.
I purchased Visual Paradigm on my own, and it was competitively priced.
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.
It is user-friendly, and as you become more familiar with its deep features, you might consider upgrading to the paid version for more complex projects.
In other drawing programs, if I moved a box, I had to move the arrow, but Visual Paradigm handled those tasks automatically.
| Product | Mindshare (%) |
|---|---|
| erwin Data Modeler | 2.6% |
| Visual Paradigm | 4.4% |
| Other | 93.0% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 3 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 5 |
| Large Enterprise | 7 |
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.
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