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No Magic MagicDraw vs erwin Data Modeler comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 23, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

erwin Data Modeler
Ranking in Business Process Design
7th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
48
Ranking in other categories
Enterprise Architecture Management (2nd), Data Governance (9th)
No Magic MagicDraw
Ranking in Business Process Design
14th
Average Rating
8.4
Reviews Sentiment
6.0
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Business Process Design category, the mindshare of erwin Data Modeler is 2.6%, up from 2.3% compared to the previous year. The mindshare of No Magic MagicDraw is 2.6%, down from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Business Process Design Market Share Distribution
ProductMarket Share (%)
erwin Data Modeler2.6%
No Magic MagicDraw2.6%
Other94.8%
Business Process Design
 

Featured Reviews

Sushree Panigrahi - PeerSpot reviewer
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Data modeling has transformed regulatory reporting and collaboration across cloud environments
In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.
reviewer2080611 - PeerSpot reviewer
System Engineer at a consultancy with 51-200 employees
Ease of use and real-time collaboration empower effective teamwork and streamlined development
For CAMEO, it's not only the ease of use, it's versatility, its communicability, but Rhapsody is the worst tool I've ever used. It is very difficult, not user-friendly, and very expensive. It works only with its IBM counterparts. SPARX Enterprise Architecture is very easy to use, but it's limited. It gives you an idea of how your model is developing, so this feature helps maintain integrity or correctness of system models. It's really a good feature to have. You've got to have the simulation toolkit installed to be able to do that, and that works really well. The MagicDraw or CAMEO system is good on its own, but it should be integrated and should come out of the box with the simulation toolkit because there are some things you can't do without it, making it very difficult to have to look for another license to be able to do that. I would prefer that it come with the simulation toolkit.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The fitting model is very intuitive."
"I compare erwin Data Modeler with other solutions such as ER/Studio and believe it stands out as an enterprise-grade data modeling tool capable of serving different industries, such as finance, healthcare, and telecom."
"It supports a wide variety of databases, including the latest ones. We have chosen to go for a cloud-based database, and it supports that, which is very useful."
"It has centralized storage so that a data model can be shared by different teams."
"I have worked with erwin Data Modeler for quite some time and familiarity is its most valuable feature."
"The visual data models for helping to overcome data source complexity and enabling understanding and collaboration around maintenance and usage are excellent. A picture speaks 1,000 words. Seeing a picture that shows you how the data relates to each other helps you better understand what the data is and how to use it. Pairing that information with a dictionary, which has the definitions of the tables and columns or the entities and attributes, ensures that the users understand what the data is so that they can use it best and most successfully."
"There is absolutely no problem with the stability."
"The product lets us import different types of models from various databases."
"The MBFC capability of MagicDraw is higher than the other competitors."
"The most valuable features are the visibility, standard compliance, and interface."
"The most valuable feature is the ability to quickly build multiple layers within the organizational and business process environments, as well as in the SysML product environments, and converting to files that can be accessed by clients who do not have a system and a teamwork server access."
"Offers good standards compliance and is user-friendly."
"The beauty of MagicDraw is that it has a simulation part, so you can simulate your model to validate it. The simulation allows you to bring in code off of an external code that you can write to set up the simulation and execute the code."
"The initial setup was not straightforward."
"The most valuable feature is the amount of flexibility that one has to model, which is great for an individual."
"There is a lot of documentation available on the Internet to understand its functionality."
 

Cons

"I'd really like to see the PDF function become available. It would make my life much easier than what it is at the moment because whenever I need to collaborate with people that do not have erwin, I have to go through the wonkiness of going to Word and then save it from Word into PDF. There's a lot of differences between erwin 4.4 and 2020."
"The modeling product itself is far and above anything else that I've seen on the market. There are certain inconsistencies when it comes to keeping up with other platforms' databases in the reverse-engineering process. It should also support more database platforms."
"The navigation is a little bit of a challenge. It's painful. For example, if you've got a view open and you want to try to move from side to side, the standard today is being able to drag and drop left and right. You can't really do that in the model. Moving around the model is painful because it doesn't follow the Windows model today."
"I would like the solution to be more user-friendly to deploy."
"I would like to see improved reporting and, potentially, dashboards built on top of that. Right now, it's a little manual. More automated reporting and dashboard views would help because currently you have to push things out to a spreadsheet, or to HTML, and there aren't many other options that I know of. I would like to be able to produce graphs and additional things right in the tool, instead of having to export the data somewhere else."
"The report generation has room for improvement. I think it was version 8 where you had to use Crystal Reports, and it was so painful that the company I was with just stayed on version 7 until version 9 came out and they restored the data browser. That's better than it was, but it's still a little cumbersome. For example, you run it in erwin, then export it out to Excel, and then you have to do a lot of cosmetic modification. If you discover that you missed a column, then you would have to rerun the whole thing. Sometimes what you would do is just go ahead and fix it in the report, then you have to remember to go back and fix it in the model. Therefore, I think the report generation still could use some work."
"The erwin Data Modeler is quite complex to use."
"erwin generally fails to successfully reverse engineer our Oracle Databases into erwin data models. The way that they are engineered on our side, the syntax is correct from an Oracle perspective, but it seems to be very difficult for erwin to interpret. What I end up doing is using Oracle Data Modeler to reverse engineer into the Oracle data model, then forward engineer the DDL into an Oracle syntax, and importing that DDL into erwin in order to successfully bring in most of the information from our physical data models. That is a bit of a challenge."
"There's lots of documentation. They process multiples of guides. They've got all kinds of guides and documentation out there, but it's kind of hard to find. There are a lot of videos. You can go to YouTube and find videos on how it's been used in different ways, but it just kind of scratches the surface."
"The UI UX of the tool is not really user-friendly and needs to be completely reformed."
"The price of the solution could be reduced."
"The documentation for MagicDraw and the video tutorials compared to other competitors is an area for improvement."
"For the next releases, I would like to have them import requirements from other sources. They could make it very easy to do that because there are a lot requirements management tools like DOORS, D-O-O-R-S, Dynamic Object Oriented Management. A lot of folks use DOORS to create a requirement. For those requirements you allocate them to a component in the architecture and a verification method for that requirement. It would be good if we could import those into MagicDraw as components so you don't have to manually do these things."
"The cost of upgrading the product should be lower."
"The licenses are expensive compared to similar tools. At the moment, the user is open to using MagicDraw if it's 15% more than other solutions. If it were to cost any more, they wouldn't use it."
"Some of No Magic MagicDraw's most valuable features were its integration with other simulation tools, such as MATLAB, the seasonal plugin, and the Rangel simulation toolkit."
 

Pricing and Cost Advice

"Pricing is very high compared to any other product."
"There are two license options and the pricing is reasonable."
"We've continued to use the product for many years and compared it with others on the market. The pricing is reasonable considering what the solution offers and what we pay. There are cheaper tools, but they may not be as robust and easy to use, so it's worth the money."
"The pricing of the solution is cheap. I rate the pricing a five out of ten."
"An issue right now would be that erwin doesn't have a freely available browser (that I am aware of) for people who are not data modelers or data engineers that a consumer could use to look at the data models and play with it. This would not be to make any changes, but just to visually look at what exists. There are other products out there which do have end user browsers available and allow them to access data models via the data modeling tool."
"erwin has this option where you pay a one-time fee and you have the license for six years, which makes sense because I don't upgrade my database engine every other year. I have an application that depends on it. This is something weird about PowerDesigner. There are no additional costs beyond the standard licensing fee."
"The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."
"The price should be lower in order to be on the same level as its competitors."
"The licensing is on a yearly basis, and it's expensive."
"In addition to the initial cost, you have to pay annually for support in order to get the upgrades."
"I would say licensing would be anywhere from $3,500 to $6,500 per person or per seat (it's a per seat style license)."
"I rate the pricing a ten out of ten. It is an expensive product compared to software for model-based system engineering."
"The price of No Magic MagicDraw could improve. The price of the solution is too expensive for smaller-sized companies. There should be a better pricing model."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
8%
Government
8%
Performing Arts
5%
Manufacturing Company
24%
Government
11%
Aerospace/Defense Firm
10%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise3
Large Enterprise35
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise1
Large Enterprise7
 

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
Regarding pricing, it depends on the company. For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month. For a workgroup edition, it...
What needs improvement with erwin Data Modeler by Quest?
In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Ve...
What is your primary use case for erwin Data Modeler by Quest?
My use case is mostly architectural design for our end-to-end deployment.
What is your experience regarding pricing and costs for No Magic MagicDraw?
Maybe the price is a little bit high for a small company to acquire this tool. However, they offer trial versions and trial licenses for members of INCOSE.
What needs improvement with No Magic MagicDraw?
For CAMEO, it's not only the ease of use, it's versatility, its communicability, but Rhapsody is the worst tool I've ever used. It is very difficult, not user-friendly, and very expensive. It works...
What is your primary use case for No Magic MagicDraw?
I deal with DOD lifecycle acquisition sorts of things as some of the main use cases currently, and I expect to continue using it for more than 25 years.
 

Also Known As

erwin DM
MagicDraw
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Northrop Grumman, Labcorp, Deposco, ClearView Training, IT Services Promotion Agency, Intelligent Chaos, Metalithic Systems Inc., Sodifrance
Find out what your peers are saying about No Magic MagicDraw vs. erwin Data Modeler and other solutions. Updated: February 2026.
882,813 professionals have used our research since 2012.