Try our new research platform with insights from 80,000+ expert users

Segment vs erwin Data Modeler comparison

 

Comparison Buyer's Guide

Executive Summary

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 Data Governance
15th
Average Rating
8.6
Reviews Sentiment
5.9
Number of Reviews
46
Ranking in other categories
Enterprise Architecture Management (2nd), Business Process Design (8th)
Segment
Ranking in Data Governance
27th
Average Rating
8.6
Reviews Sentiment
8.5
Number of Reviews
2
Ranking in other categories
Web Analytics (6th), Customer Data Platforms (CDP) (1st)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.3%. The mindshare of Segment is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
erwin Data Modeler0.3%
Segment0.5%
Other99.2%
Data Governance
 

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.
VikasAgarwal - PeerSpot reviewer
Founder & CTO at Naks Digital Consulting
Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work well if they fit your needs, but if you need something custom, you can't rely on the SDKs and have to use recipes. And using those recipes extensively isn't ideal. For example, we were getting leads from the D2C application, sending them to Segment, and then from Segment to HubSpot. If Segment could mimic HubSpot's API, we could leverage HubSpot's SDK capabilities even through Segment. But Segment's API is generic, so it doesn't do anything tailored to HubSpot. As a product designer, I know that would be hard to accomplish anyway. It's not a criticism, because I would probably design it the same way. But as a consumer, I don't care how it's designed; I care if it fits my use case. If not, how much effort will it take to make it work? That was the challenging part. It took a lot of time to integrate Segment and make it communicate with HubSpot in a certain way. So, the challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations. From my experience, it's mostly fine. It could benefit from more customization capabilities. The product itself is good, but it would be awesome if it allowed you to write your own extensions to augment the CDP's capabilities. And another suggestion. It's not about a missing feature, but rather something Segment is doing that I personally don't think a CDP should do. It's like a mobile phone you use for watching videos, listening to music, and making calls. But to be a good mobile phone, you need to be the best at making and receiving calls, and texting. Everything else is a distraction. Instead of optimizing for those distractions, you should solidify the basics. To illustrate this, Segment has many capabilities that overlap with things like CRMs, campaign management systems, tracking systems, and so on. These capabilities can give a small startup a real kick-start, but as you scale, the capabilities other than the core CDP features don't scale as well. For example, it does campaign management, but it's not really a full-fledged campaign management system. When you're starting out, it's fine, it's great, it fits almost all your use cases. But as you grow from a two-person organization to a 300-person organization, you'll have to deal with more complexity. You'll likely need to look for a dedicated campaign management system and integrate it with Segment. Now, if you've been using Segment's campaign management for a long time, moving that part to a different system will be a roadblock.

Quotes from Members

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

Pros

"My favorite feature of erwin Data Modeler is that we can export and import tables directly from the databases, and it is easy to map from table to table and column to column."
"The solution is good for organizing the data and the scripting part is very powerful. It's easy to create technical scripts for models."
"Being able to point it to a database and then pull the metadata is a valuable feature. Another valuable feature is being able to rearrange the model so that we can display it to users. We are able to divide the information into subject areas, and we can divide the data landscape into smaller chunks, which makes it easier to understand. If you had 14 subject areas, 1,000 entities, and 6,000 columns, you can't quite understand it all at once. So, being able to have the same underlying model but only display portions of it at a time is extremely useful."
"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."
"When you're getting down to the database level, where you're building a design and you're creating DDL out of it, or you're going in the other direction where you're reaching into system catalogs and bringing things back, that starts to really require specialization. Visio isn't going to reverse-engineer that for you. Those features in erwin are valuable."
"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."
"The most valuable features are being able to visualize the data in the diagrams and transform those diagrams into physical database deployments. These features help, specifically, to integrate the data. When the source data is accumulated and modeled, the target model is in erwin and it helps resolve the data integration patterns that are required to map the data to accommodate a model."
"The most valuable feature is the physical or visual representation of the database, showing the tables, the columns, the foreign keys, and the ability to generate DDL, so you can physically implement databases."
"I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort required for integrations is relatively low."
 

Cons

"I find the UI very clunky and very difficult to use. If I add columns to a table the whole workflow could be so much easier. I get frustrated using it. I've tried other tools. I've tried to get off of erwin a few times. I always come back to it because every tool has its own set of problems, and it seems like if I have to pick my poison, I stay with erwin. But so many things that are clunky with it."
"As someone who has used it for a long time, I have seen stability vary from version to version."
"The erwin Data Modeler is quite complex to use."
"Erwin Data Modeler is a good product, but I recently experienced a problem where I was not able to open an erwin Data Modeler file because its version had automatically changed."
"I would like to see the ability to support more NoSQL platforms more quickly. In addition, enhancing the graphics to render more quickly would be beneficial for any user."
"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."
"It does not have a cloud application."
"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 challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
 

Pricing and Cost Advice

"This company had bought the license for three years, and it's not an individual license. While you can buy a license for each individual, that would be very expensive. There is something called concurrent licenses where you can purchase licenses in bulk and 15 to 20 people can access the license and model. Concurrent licenses are scalable to the number of users and are proportional to the cost."
"The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."
"It is not a very expensive solution. Only the licensing and maintenance fee needs to be paid."
"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."
"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."
"Price-wise, erwin Data Modeler is okay. You can purchase a single license and it is not very expensive."
"The price of erwin Data Modeler is very expensive, in particular for this part of the world."
"The pricing of the solution is cheap. I rate the pricing a five out of ten."
"The pricing was on the higher side but it wasn't excessively high."
report
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Government
8%
Manufacturing Company
8%
Performing Arts
5%
Computer Software Company
11%
Financial Services Firm
10%
University
7%
Energy/Utilities Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise3
Large Enterprise34
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
Regarding pricing, I am unsure what the exact price is for erwin Data Modeler, but I believe it is not useful for an individual. It is more targeted toward an enterprise level since organizations l...
What needs improvement with erwin Data Modeler by Quest?
I write code and I write code accessing erwin Data Modeler's API, the Application Programming Interface, so that I can use Excel to update erwin Data Modeler and then get those updates and put them...
What is your primary use case for erwin Data Modeler by Quest?
I work for CVS with a pretty big database as a data modeler on the PBMs, the Caremark PBM side, which is the Pharmacy Benefits Manager. There's a retail side too for all the stores, but our data wa...
What do you like most about Segment?
I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort requ...
What is your experience regarding pricing and costs for Segment?
The pricing was on the higher side but it wasn't excessively high. It's definitely not tailored for the smallest businesses, but it's well-suited for setups that anticipate significant growth.
What needs improvement with Segment?
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work we...
 

Comparisons

 

Also Known As

erwin DM
Segment.io
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about Segment vs. erwin Data Modeler and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.