Veritas Data Insight vs erwin Data Intelligence comparison

Quest Software and Veritas are both solutions in the Data Governance category. Quest Software is ranked #18 with an average rating of 8.0, while Veritas is ranked #32. Quest Software holds a 2.0% mindshare in DG, compared to Veritas’s 1.0% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of Veritas users who would recommend it.

erwin Data Intelligence

Read 20 erwin Data Intelligence reviews

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3,304 Comparison Views

100% willing to recommend

Veritas Data Insight

Read 6 Veritas Data Insight reviews

1,589 Views
1,589 Comparison Views

100% willing to recommend

erwin Data Intelligence

Veritas Data Insight

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Executive SummaryUpdated on Mar 1, 2026

erwin Data Intelligence and Veritas Data Insight both operate in the data management category, contrasting in their focus areas. While erwin excels in automation for rapid deployment, Veritas is more prominent in data protection and compliance. erwin seems to have the upper hand in automation speed, reducing time to market, whereas Veritas excels in security management and legacy integration.

Features: erwin Data Intelligence offers robust automation capabilities, including automation scripts that significantly decrease time to market. It integrates an effective data catalog along with Smart Data Connectors to improve data lineage and governance. Its centralized management of business rules, glossaries, and metadata creates an efficient data governance environment. Veritas Data Insight, on the other hand, provides strong data protection features, focusing on data compliance and risk management. It includes capabilities like user risk scoring and swift classification of unstructured data, crucial for securing and managing business data.

Room for Improvement: erwin Data Intelligence could benefit from enhancing its SDK to resolve inconsistencies in API responses and improve the user interface intuitiveness. Users suggest improvements in automation handling, metadata scans, and better integration for codeset mapping. Veritas Data Insight needs to upgrade its reporting capabilities as current options are basic. There are also calls for better virtualization options and more competitive pricing adjustments.

Ease of Deployment and Customer Service: erwin Data Intelligence offers flexible deployment across Cloud, On-premises, and Hybrid environments, which suit diverse enterprise requirements. Although its customer service is generally responsive, there's room for improvement in speed of issue resolution. Veritas Data Insight primarily deploys in On-premises and Hybrid settings and receives positive feedback for its technical support, which is competent and often meets SLA requirements. Users note erwin support as particularly proactive in responding to enhancement requests.

Pricing and ROI: erwin Data Intelligence provides competitive pricing that, combined with its automation abilities, results in significant ROI by lowering project expenses and boosting delivery speed. The initial setup may be intricate, but the long-term value outweighs the cost. Veritas Data Insight's cost is based on a per-terabyte model and receives mixed feedback regarding cost-effectiveness; it's viewed as more competitively priced in regions such as Brazil. Both products demonstrate substantial ROI by enhancing process efficiencies and cutting down labor costs.

To learn more, read our detailed Veritas Data Insight vs. erwin Data Intelligence Report (Updated: April 2026).

Buyer's Guide

Veritas Data Insight vs. erwin Data Intelligence

April 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

erwin Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Veritas Data Insight

Ranking in Data Governance

32nd

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of erwin Data Intelligence is 2.0%, up from 2.0% compared to the previous year. The mindshare of Veritas Data Insight is 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	2.0%
Veritas Data Insight	1.0%
Other	97.0%

Data Governance

Featured Reviews

Jog Raj

Senior Consultant at a computer software company with 11-50 employees

Automated lineage and business glossaries have improved data understanding and collaboration

I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

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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 client is thrilled with higher quality, lower-cost products, and the services."

"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."

"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."

"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."

"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."

"The solution saves time in data discovery and understanding our entire organization's data."

"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."

"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."

More erwin Data Intelligence pros

"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."

"Veritas is a well-established company, and it has a long legacy; Veritas solutions have expected stability and flexibility, support most of the flexible solutions in the market, and have support for data protection, data monitoring, and things like that, so in these ransomware times, it is a very important company with good solutions."

"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."

"The stability has been great."

More Veritas Data Insight pros

Cons

"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."

"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."

"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."

"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."

"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."

"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."

"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."

"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."

More erwin Data Intelligence cons

"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."

"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."

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

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

"Veritas Data Insight can improve the price."

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

"I need more options for virtualization."

"Its deployment can be a little bit complex. It should be easier to set up."

More Veritas Data Insight cons

Pricing and Cost Advice

"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."

"The licensing cost is around $7,000 for user. This is an estimation."

"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."

"The price is reasonable, and a subscription is required."

"erwin's pricing was cheaper than its competitors."

"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."

More erwin Data Intelligence pricing and cost advice

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

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

10%

Manufacturing Company

Educational Organization

Computer Software Company

12%

Financial Services Firm

10%

Performing Arts

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	15

No data available

Questions from the Community

What needs improvement with erwin Data Intelligence by Quest?

In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...

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What is your primary use case for erwin Data Intelligence by Quest?

My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.

See all answers

What advice do you have for others considering erwin Data Intelligence by Quest?

The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...

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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

What is your primary use case for Veritas Data Insight?

I use it for backup and virtual machines, and the databases are on-premises and in the cloud.

See all answers

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Compared 7% of the time

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Compared 21% of the time

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Compared 15% of the time

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Compared 12% of the time

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Product Reports

Buyer's Guide

erwin Data Intelligence

May 2026

Download erwin Data Intelligence product report

Buyer's Guide

Data Governance

April 2026

Download Veritas Data Insight product report

Also Known As

erwin DG, erwin Data Governance

No data available

Overview

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Veritas Data Insight offers a centralized platform for rapid backups, data categorization, and compliance, crucial for managing data across environments and securing against threats like ransomware.

Veritas Data Insight is renowned for its stability and flexibility, providing comprehensive data protection and monitoring. It supports compliance and risk management with GDPR adherence, audit trails, and user risk-scoring, efficiently managing data across storage repositories. Though powerful, deployment complexity and GUI intuitiveness could improve. Desired enhancements include better cloud integrations and a single management interface. Pricing and technical support require refinement, and while suitable for virtualization, it might benefit from streamlined reporting capabilities and easier interfaces.

What are the key features?

Ease of Use: Offers a unified console for streamlined operations.
GDPR Compliance: Ensures regulatory compliance with data protection laws.
Data Categorization: Differentiates between valuable and non-essential data.
Audit Trail: Maintains comprehensive records for compliance.
User Risk-Scoring: Provides insights into data security risks.
Rapid Backups: Facilitates quick data backup processes.

What benefits should you look for?

Data Protection: Shields against threats like ransomware with robust security.
Cost Efficiency: Aids in optimizing data management costs.
Flexible Management: Adapts to both on-premises and cloud-based environments.
Enhanced Security: Manages access to sensitive information effectively.

Veritas Data Insight is widely implemented across industries to protect data, secure insights, and manage sensitive information. Organizations structure and classify data using it with environments like Office 365, VMware, and Hyper-V. It aids in comprehensive reporting and forecasting, supporting diverse database types while ensuring secure access management within their file structures and folders.

Veritas

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Information Not Available

Buyer's Guide

Veritas Data Insight vs. erwin Data Intelligence

April 2026

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