

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, 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.
Purview can do a quick scan, and it doesn't use human resources, so it gets time to do things that we need humans to focus on.
The E5 license comes with different solutions like data discovery classification, CASB, DLP solutions, and Defender for Cloud.
The cost of data loss and your data going to a competitor is potentially massive.
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.
Sometimes, I get a fast and knowledgeable response, while other times, I've experienced delays and received no resolution.
It's hard to be an ambassador for a product when you know it will be hard to get support.
After our issues are reported, it takes a long time to find a resolution.
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 can be scaled across different departments organization-wide very quickly and easily.
It can handle large collections of data without issues.
Scalability can be improved by reducing these intervals.
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.
Once implemented, I haven't had issues with its consistency.
The product is stable, and whatever it does, it does better than any other thing.
Since identity is where everything is based, if that goes down, you're screwed.
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.
Effectiveness in Microsoft Purview Information Protection means enforcing the policy and making sure it works consistently across non-Microsoft products as well.
A lot of functionality in Microsoft Purview Information Protection is not exposed in an API officially yet, which has made a lot of implementation work difficult because we have to do click ops instead of DevOps.
Having a roadmap or updates about new releases would be helpful for demonstrating to clients.
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.
I talked to people who had compared it to other products on the market, and they're spending five figures to get started.
The E5 license covers most of the solutions for different technologies, so that way, it is good and more affordable compared to any other solution.
Our focus is on helping customers maximize their software investment.
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.
Microsoft Copilot is an advantage because it's enterprise-grade AI.
It's paramount to have a single solution for information protection.
Regardless of the education, the employee might share the information anyway, so the AI shouldn't be the first point of failure. It should be a human making good decisions.
| Product | Market Share (%) |
|---|---|
| Microsoft Purview Information Protection | 2.2% |
| erwin Data Modeler | 0.3% |
| Other | 97.5% |


| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 3 |
| Large Enterprise | 34 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
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.
Implement Microsoft Information Protection (MIP) to help you discover, classify, and protect sensitive information wherever it lives or travels.
MIP capabilities are included with Microsoft 365 Compliance and give you the tools to know your data, protect your data, and prevent data loss.
To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.