Ardoq vs erwin Data Modeler comparison

Ardoq and Quest Software are both solutions in the Enterprise Architecture Management category. Ardoq is ranked #13, while Quest Software is ranked #2 with an average rating of 8.4. Ardoq holds a 3.2% mindshare in AM, compared to Quest Software’s 8.4% mindshare. Additionally, 50% of Ardoq users are willing to recommend the solution, compared to 95% of Quest Software users who would recommend it.

Ardoq

Read 2 Ardoq reviews

1,218 Views
1,218 Comparison Views

50% willing to recommend

erwin Data Modeler

Read 47 erwin Data Modeler reviews

5,545 Views
3,771 Comparison Views

95% willing to recommend

Ardoq

erwin Data Modeler

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Executive SummaryUpdated on Nov 23, 2025

Erwin Data Modeler and Ardoq operate in the data management space. Ardoq tends to lead due to its superior features and integration capabilities, considered valuable despite higher costs.

Features: Erwin Data Modeler supports enterprise projects with data modeling, metadata management, and robust visualization tools. Ardoq offers dynamic architectural exploration, real-time collaboration, and integration insights, aiding in bridging IT and business gaps. Its flexibility and interconnection are particularly attractive for digital transformation efforts.

Ease of Deployment and Customer Service: Erwin Data Modeler uses a traditional deployment model, requiring more initial time and resources for a stable environment in extensive data models. Ardoq's agile deployment fits dynamic IT landscapes, enabling quick adaptations. Ardoq's proactive support and educational resources enhance user experience, offering an edge in customer service.

Pricing and ROI: Erwin Data Modeler often incurs higher setup costs but offers substantial ROI through its performance in structured data environments. Ardoq, though at a premium price, delivers significant ROI by promoting operational agility and strategic alignment in rapidly changing digital ecosystems.

To learn more, read our detailed Ardoq vs. erwin Data Modeler Report (Updated: February 2026).

Buyer's Guide

Ardoq vs. erwin Data Modeler

February 2026

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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

Ardoq

Ranking in Enterprise Architecture Management

13th

Average Rating

7.6

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

erwin Data Modeler

Ranking in Enterprise Architecture Management

2nd

Average Rating

8.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Business Process Design (7th), Data Governance (9th)

Mindshare comparison

As of February 2026, in the Enterprise Architecture Management category, the mindshare of Ardoq is 3.2%, down from 3.3% compared to the previous year. The mindshare of erwin Data Modeler is 8.4%, down from 11.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Enterprise Architecture Management Market Share Distribution
Product	Market Share (%)
erwin Data Modeler	8.4%
Ardoq	3.2%
Other	88.4%

Enterprise Architecture Management

Featured Reviews

Anthony Houghton

Data Architect at UK Research and Innovatio

Provides stable performance and scalability but not intuitive for data modeling

Overall, I would rate it around six out of ten. The training environment wasn't very intuitive, but maybe with more use, it will get better. We need to learn to navigate it. So, there is a potential learning curve in this tool. I use it once in a blue moon, and not very frequently because I have not found it very intuitive.

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Sushree Panigrahi

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.

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Quotes from Members

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

Pros

"Snapshots are the most valuable feature."

"It is a stable solution."

"The data lineage feature is very valuable."

"The solution’s code generation ensures accurate engineering of data sources, as there is no development time. Code doesn't even have to be reviewed. We have been using this solution for so long and all the code which has been generated is accurate with the requirements. Once we generate the DDLs out of the erwin tools, the development team does a quick review of the script line by line. They will just be running the script on the database and looking into other requirements, such as the index. So, there is less effort from development side to create tables or build a database."

"It provides flexibility with the code. You can change the code as you want. Basically, you can change SQL based on what's best for your project."

"We use the macros with naming standards patterns, domains, datatypes, and some common attributes. As far as other automations, a feature of the Bulk Editor is mass updates. When it sees something is nonstandard or inaccurate, it will export the better data out. Then, I can easily see which entities and attributes are not inline or standard. I can easily make changes to what was uploaded to the Bulk Editor. When taking on a new project, it can save you about a half a day on a big project across an entire team."

"What has been useful, I have been able to reverse engineer our existing data models to document explicitly referential integrity relationships, primary/foreign keys in the model, and create ERDs that are subject area-based which our clients can use when working with our databases. The reality is that our databases are not explicitly documented in the DDL with primary/foreign key relationships. You can't look at the DDL and explicitly understand the primary/foreign key relationships that exist between our tables, so the referential integrity is not easily understood. erwin has allowed me to explicitly document that and create ERDs. This has made it easier for our clients to consume our databases for their own purposes."

"The product lets us import different types of models from various databases."

"erwin Data Modeler's ability to generate database code from a model for a wide array of data sources saves time in development, as utilizing the solution allows me to accomplish tasks in minutes compared to the extended time required for manual processes."

"The fitting model is very intuitive."

More erwin Data Modeler pros

Cons

"Scalability as a standalone system is good, given the information that has been described inside Ardoq. But not the scalability as a third-party system or with integration with other systems. Because in this direction, the scalability is about zero for Ardoq."

"The training environment wasn't very intuitive, but maybe with more use, it will get better."

"This is a very complex product."

"As someone who has used it for a long time, I have seen stability vary from version to version."

"I would like to see more support for working with the big-data world. There are so many new databases evolving and it's very hard for them to keep up with all of the new technologies. It would be good if they were able to dynamically support big-data platforms, other than Hive and Teradata."

"It would be nice to have it on the Linux platform, not just Windows. If they can support Linux, there would be a huge market for it."

"Sometimes when I want to open the attribute editor, it stops working and the whole application freezes."

"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."

"We are planning to move, in 2021, into their server version, where multiple data modelers can work at the same time and share their models. It has become a pain point to merge the models from individual desktops and get them into a single data model, when multiple data modelers are working on a particular project. It becomes a nightmare for the senior data modeler to bring them together, especially when it comes to recreating them when you want to merge them."

"I would like to have more data sources from other, different vendors. In recent years, the vendor has reduced the number of data sources, and I would like to have more data sources for every brand. For example, with Oracle, I would like to have compatibility for many versions, including old ones, not just the most recent."

More erwin Data Modeler cons

Pricing and Cost Advice

"We pay for extended support."

"It is not a very expensive solution. Only the licensing and maintenance fee needs to be paid."

"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."

"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."

"There is either a one-year or three-year license. It is not a pay-as-you-go license like a SaaS solution. It’s more of a traditional licensing. They are a little bit on the pricier side."

"erwin is expensive compared to other solutions. We are paying almost $6,000 per seat a month."

"The pricing of the solution is cheap. I rate the pricing a five out of ten."

"I don't specifically know what we're paying now. About three years ago, in another organization, I have this memory of 6,000 AUD a seat or something like that, but I am not sure. In the mid-2000s, it was something like 1,200 AUD a seat. I get the impression that there was a price jump when it was spun off from CA as a separate company, which is understandable, but it could sometimes be a barrier in some organizations picking it up. I haven't talked to erwin people yet, but I'm going to suggest to them that they could perhaps think of having an entry-level product that is priced a bit lower, and then, you can buy the extra suite."

"The tool is expensive."

More erwin Data Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

Manufacturing Company

University

Financial Services Firm

17%

Manufacturing Company

Government

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	3
Large Enterprise	34

Questions from the Community

Any experience with Strategic Project Portfolio Management Solutions?

Hi @Cheryl Joseph Looking at the crossover between Project and Portfolio management with EA, then Planview could be a good choice. If looking at Portfolio Management from an EA perspective then Le...

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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...

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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...

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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...

See all answers

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Product Reports

Buyer's Guide

Enterprise Architecture Management

February 2026

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Buyer's Guide

erwin Data Modeler

February 2026

Download erwin Data Modeler product report

Also Known As

No data available

erwin DM

Overview

A Dynamic and Data-Driven Approach to Enterprise Architecture
Engage and connect stakeholders across the organization with business-friendly visualizations understandable to all.

Ardoq

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?

Visual Representation: Facilitates clear visualization of data models, aiding comprehension.
Versioning and Editing: Enhance usability with versioning and bulk editing capabilities.
Reverse Engineering: Offers powerful tools for reverse engineering and DDL generation.
Integration: Aligns with data intelligence to streamline database management.
Naming Standards: Enforces consistency with automated script creation.

What benefits should users consider in Erwin Data Modeler reviews?

Collaboration: Promotes team understanding and collaboration through visual tools.
Automation: Reduces manual effort through automated processes and integration.
Scalability: Handles large database management efficiently, crucial for enterprise settings.
Data Governance: Facilitates effective data governance with structured modeling.

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.

Quest Software

Sample Customers

Schibsted, Government of Malmo, Torvald

Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples

Buyer's Guide

Ardoq vs. erwin Data Modeler

February 2026

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