

IDERA ER/Studio and erwin Data Modeler are leading competitors in the data modeling category. ER/Studio has an edge with its strong graphic and automation features, while erwin is preferred for its superior visualization and reporting capabilities.
Features: IDERA ER/Studio excels with its intuitive interface aiding a quick learning curve. It offers detailed domain definitions and automation features to streamline reverse and forward engineering processes. Its graphic and formatting capabilities are among the best, ensuring comprehensive team collaboration. Conversely, erwin Data Modeler is noted for its visualization capabilities that ease global changes. Its report design features cater to complex model management, handling large datasets efficiently with precise key management.
Room for Improvement: IDERA ER/Studio faces challenges with deployment complexity, network inefficiencies, and integration with newer databases and cloud solutions. Users also note the need for scalability improvements and more comprehensive documentation. Erwin Data Modeler requires enhancements in Complete Compare functionality and speed improvements for handling large models. Some users find its interface outdated and suggest better cloud capabilities alongside refined forward engineering processes.
Ease of Deployment and Customer Service: Both IDERA ER/Studio and erwin Data Modeler are primarily on-premises solutions with some cloud features. IDERA’s customer service is generally praised despite some licensing and setup frustrations, whereas erwin's support receives mixed reviews—some users experience helpful assistance, while others face delays.
Pricing and ROI: IDERA ER/Studio has a higher price point and cumbersome licensing, potentially inflating ownership costs. However, its feature-rich environment justifies the investment by offering significant ROI through time-saving capabilities. Erwin Data Modeler is often viewed as more expensive, particularly for smaller budgets. Despite this, its robust capabilities contribute to a strong ROI, especially useful for data modeling professionals who benefit from its comprehensive feature set.
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 quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Quest is committed to keeping the product robust.
Erwin Data Modeler requirements function at a standard level.
The documentation is more robust than Erwin's, but their interface is not as intuitive.
There is plenty of documentation available online for assistance, making it straightforward to address any issues.
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.
Regarding scalability, erwin Data Modeler is performing well; from a few tables to 100 tables, it is working effectively so far.
It scales well to teams of one hundred plus people.
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.
Erwin is a very stable product.
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.
Both Erwin and ER/Studio do not have AI or machine learning features for automation.
Erwin's metadata management is better in how it handles data.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
The setup cost may have been around $1500 to $2000.
In terms of pricing, ER/Studio is slightly more expensive compared to Erwin, by about five to ten percent.
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.
One of the best aspects of the tool is its reverse engineering capability.
When we built an application, it facilitated the development process by providing the skeleton of the application and the foundation for functions.
It has strong versioning support and can even integrate with third-party versioning tools like GitHub.
IDERA ER_Studio does a lot more and performs model comparison much better than Erwin.
| Product | Market Share (%) |
|---|---|
| erwin Data Modeler | 8.3% |
| IDERA ER/Studio | 3.5% |
| Other | 88.2% |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 3 |
| Large Enterprise | 34 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 11 |
| Large Enterprise | 26 |
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.
IDERA ER/Studio is a powerful suite for business-driven data modeling that enables companies to create an enterprise architecture foundation for data governance. With round-trip support for multiple database platforms, data architects have the power to reverse-engineer, analyze, and optimize existing databases easily from diverse platforms. Data professionals can easily capture and share models, metadata, data sources, and glossaries across the organization for improved alignment between the organization and Information Technology. Organizational stakeholders can take part in the metadata definition workflow and access information on models and metadata at the right level for their needs.
Unlike its competition, it provides the broadest range of data platform support, industry-leading enterprise-level capabilities, visual data lineage and flow modeling, full dimensional modeling for data warehousing and business intelligence, and business data objects to bridge the gap between developers and data architects. It also provides a complete solution for enterprise architecture and data governance, extensive model change management, unique incorporation of true enterprise data dictionaries, unique linking of constructs across models, integrated visual data lineage import, and integrated data and business process modeling.
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