

IDERA ER/Studio and erwin Data Modeler are competitors in the database modeling tools category. IDERA ER/Studio may have the upper hand due to its advanced automation and broader integration options advantageous for large teams.
Features: IDERA ER/Studio is recognized for its reverse engineering capabilities that help visualize existing databases and automate processes to improve efficiency. It provides robust model comparison features and has strong integration capabilities that support various products, making it ideal for large teams. Erwin Data Modeler stands out for its ease of use, especially in handling logical and physical models. Its visual data models simplify complex data comprehension and the tool's ability to generate code and manage metadata effectively enhances functionality.
Room for Improvement: IDERA ER/Studio could improve in deployment and licensing, as it requires multiple server applications and lacks robust integration with Active Directory. The documentation also needs enhancement. Erwin Data Modeler users suggest performance improvements for big data, a modernized user interface, and better cloud integration. Its Complete Compare feature is deemed cumbersome and in need of effectiveness. Both can improve reporting features and cloud deployment options.
Ease of Deployment and Customer Service: IDERA ER/Studio offers deployment flexibility with hybrid cloud options but faces challenges in technical support, often necessitating premium support for timely service. Erwin Data Modeler supports on-premises and private cloud deployments but has issues with performance and versioning. Customer service for both is generally favorable, although erwin users report mixed technical support experiences due to time zone differences.
Pricing and ROI: IDERA ER/Studio is slightly more expensive than erwin Data Modeler but is perceived to offer high ROI due to process efficiency improvements. Erwin Data Modeler is also noted for high pricing, posing a challenge for smaller enterprises or personal use. While both feature complex licensing systems, erwin's concurrent licensing can be cost-effective for enterprises. Despite higher costs, both solutions are valuable for their functionalities in data management and modeling tasks.
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 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 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.
Performance can degrade during larger collaborations and requires tuning for optimal performance.
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.
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 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.
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.
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 | Mindshare (%) |
|---|---|
| erwin Data Modeler | 8.3% |
| IDERA ER/Studio | 3.1% |
| Other | 88.6% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 3 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 12 |
| Large Enterprise | 25 |
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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