Veritas Data Insight vs erwin Data Modeler comparison

Quest Software and Veritas are both solutions in the Data Governance category. Quest Software is ranked #15 with an average rating of 8.4, while Veritas is ranked #20 with an average rating of 9.0. Quest Software holds a 0.3% mindshare in DG, compared to Veritas’s 0.9% mindshare. Additionally, 95% of Quest Software users are willing to recommend the solution, compared to 100% of Veritas users who would recommend it.

erwin Data Modeler

Read 46 erwin Data Modeler reviews

5,210 Views
156 Comparison Views

95% willing to recommend

Veritas Data Insight

Read 6 Veritas Data Insight reviews

1,372 Views
1,372 Comparison Views

100% willing to recommend

erwin Data Modeler

Veritas Data Insight

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Veritas Data Insight and erwin Data Modeler based on real PeerSpot user reviews.

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.

To learn more, read our detailed Veritas Data Insight vs. erwin Data Modeler Report (Updated: December 2025).

Buyer's Guide

Veritas Data Insight vs. erwin Data Modeler

December 2025

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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

erwin Data Modeler

Ranking in Data Governance

15th

Average Rating

8.6

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (2nd), Business Process Design (8th)

Veritas Data Insight

Ranking in Data Governance

20th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.3%. The mindshare of Veritas Data Insight is 0.9%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
erwin Data Modeler	0.3%
Veritas Data Insight	0.9%
Other	98.8%

Data Governance

Featured Reviews

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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Humberto Tahara

Senior Solution Architect Pre-Sales at Invent Cloud Soluções em Tecnologias Ltda

Legacy backup works well with good UI and amazing support

I use it for backup and virtual machines, and the databases are on-premises and in the cloud It's a good solution. It's been in business a long time working with backup. I love it for legacy backup work, I think so. I need more options for virtualization. I know it's good for virtualization, but…

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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

"The generation of DDL saved us having to write the steps by hand. You still had to go in and make some minor modifications to make it deployable to the database system. However, for the data lineage, it is very valuable for tracing our use of data, especially personal confidential data through different systems."

"Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution."

"I love the way erwin Data Modeler creates data models and presents them for our users."

"This tool is beneficial to any organization as it is foundational; there is no better way than this, and it is a must-have for every organization, whether large or small."

"The solution is excellent in providing a visual representation of a database and can generate DDL for implementing changes. We use DDL for logical purposes to review with business people, ensuring they have the required fields for processing. We also use it as a data dictionary for the physical data model to understand all the purposes of the terms. This helps us map the logical and physical terms with the business definition to understand our data."

"The ability to collaborate between different members across the organization is the most valuable feature. It gives us the ability to work on the same model, regardless of where we are physically."

"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 modeling portion of the tool is the most valuable. There are some notes, naming standards, and other functions that we use as well. There's a whole boatload of functionality in this thing and we use maybe 10% of it. It seems to be pretty common that not all the functionality is fully utilized. But it's just got gobs and gobs of stuff that you can implement if you so choose to."

More erwin Data Modeler pros

"It's a good solution."

"Data Insight is a good product to do everything. It is kind of transparent to administrators. It is also a very good solution with regards to GDPR compliance and regulations. Veritas is a well-established company, and it has a long legacy. Veritas solutions have expected stability and flexibility. It supports most of the flexible solutions in the market and has support for data protection, data monitoring, and things like that. In these ransomware times, it is a very important company with good solutions."

"I love Veritas support."

"Veritas Data Insight has been instrumental in managing and categorizing data across our storage repository. The tool identifies valuable business data and distinguishes it from non-essential data. This capability empowers us to separate and exclude unnecessary data from our long-term retention strategy. Its valuable feature is alert mitigation."

"The features I find most valuable in Veritas Data Insight include its exceptional speed in classifying unstructured data and its user risk-scoring functionality."

"The most valuable features of Veritas Data Insight are the ease of use, one console deployment for the administration, and backups that can be done in minutes. It is a very fast solution."

"The stability has been great."

Cons

"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."

"In terms of improvements, support could have been better in terms of installation, especially of workgroups. We struggled quite a bit to get it up and running. Collaboration could have been better from an installation perspective, but it is trivial as compared to what we use it for. Other than that, I don't have much feedback. It works pretty well, and the fact that we've been using it for more than a decade shows that it is quite solid."

"The solution's model mark could be better because it crashes sometimes."

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

"Complete Compare is set up only to compare properties that are of interest to us, but some of the differences cannot be brought over from one version of the model to another. This is despite the fact that we are clicking to bring objects from one place to another. Therefore, it's hard to tell at times if Complete Compare is working as intended without having to manually go into the details and check everything. If it could be redesigned to a degree where it is easier to use when we bring things over from one site to another and be sure that it's been done correctly, that would be nice to have. We would probably use the tool more often if the Complete Compare were easier 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."

"This is a very complex product."

"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."

More erwin Data Modeler cons

"The solution is not lacking any features at this time."

"Veritas Data Insight can improve the price."

"I need more options for virtualization. I know it's good for virtualization, but another product might be easier to work with, like sending to VendCap and Restore."

"I need more options for virtualization."

"The nature of both data processing and start processes often involves varying timeframes for retrieval, mainly dependent on the historical data being accessed. When the request involves pulling information from six months or two years ago, the process may take longer."

"Its deployment can be a little bit complex. It should be easier to set up. The ease of use of this solution can also be improved, and it could have a cleaner, up-to-date, and intuitive GUI. There are a lot of competitors out there with much nicer GUI and easier setup. It should have a better connection with the cloud sources and much more monitoring. I would like to have a single management interface for on-premises and cloud deployments so that we don't have to switch between them. Its technical support can also be a little bit better."

"Veritas Data Insight's reporting capabilities require enhancement."

Pricing and Cost Advice

"The price should be lower in order to be on the same level as its competitors."

"Pricing is very high compared to any other product."

"The solution is expensive."

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

"The primary reasons that erwin was selected were that it was much more affordable for us [than Embarcadero] and it was easily maintainable."

"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."

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

"The tool is expensive."

More erwin Data Modeler pricing and cost advice

"The solution is cost-effective."

"For Veritas Data Insight, the usage is based on a per-terabyte model. The annual cost for this usage is approximately one million dollars. It would be roughly 50,000 dollars to provide a more accurate equivalent."

"Licensing is based on the number of users or the usage in terabytes."

"It is my understanding that the license with one year of support is, per user, around 25 Euros."

"The price of Veritas Data Insight could improve, it is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Government

Manufacturing Company

Performing Arts

Computer Software Company

14%

Financial Services Firm

Performing Arts

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	3
Large Enterprise	34

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...

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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...

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What do you like most about Veritas Data Insight?

Veritas Data Insight has been instrumental in managing and categorizing data across our storage repository. The tool identifies valuable business data and distinguishes it from non-essential data. ...

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What is your experience regarding pricing and costs for Veritas Data Insight?

The price in Brazil is not good, however, all tools in Brazil are expensive due to all of the taxes. When compared to others, such as Data Protector, Dell, or other tools, Veritas has a good price.

See all answers

What needs improvement with Veritas Data Insight?

I need more options for virtualization. I know it's good for virtualization, but another product might be easier to work with, like sending to VendCap and Restore. The interface is easier to work w...

See all answers

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Product Reports

Buyer's Guide

erwin Data Modeler

January 2026

Download erwin Data Modeler product report

Buyer's Guide

Data Governance

January 2026

Download Veritas Data Insight product report

Also Known As

erwin DM

No data available

Overview

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

Data Insight gives you the analytics, tracking, and reporting necessary to deliver organizational accountability for file use and security. Designed to manage the needs of organizations with petabytes of data and billions of files, Data Insight integrates with archiving and security solutions to prevent data loss and ensure policy-based data retention.

-Automate governance through workflows and customization
-Drive efficiencies and cost savings in your unstructured data environment
-Maintain regulatory compliance for information access, use, and retention
-Protect confidential information from unauthorized use and exposure

Veritas

Sample Customers

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

Information Not Available

Buyer's Guide

Veritas Data Insight vs. erwin Data Modeler

December 2025

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