Quest Data Intelligence vs Veritas Data Insight comparison

Why PeerSpot?

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 #35. Quest Software holds a 2.5% mindshare in DG, compared to Veritas’s 0.9% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of Veritas users who would recommend it.

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

5,399 Views
4,265 Comparison Views

100% willing to recommend

Veritas Data Insight

Read 6 Veritas Data Insight reviews

1,772 Views
1,772 Comparison Views

100% willing to recommend

Quest Data Intelligence

Veritas Data Insight

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Executive SummaryUpdated on Jul 16, 2026

erwin Data Intelligence and Veritas Data Insight compete in the data management category. While erwin shines in data governance with its comprehensive data lineage and centralization capabilities, Veritas excels in unstructured data management, making each product superior in their respective focuses.

Features: erwin Data Intelligence offers comprehensive data lineage, business glossaries, and automated metadata management through Smart Data Connectors. Its capability to centralized data analysis processes enhances adaptability and efficiency. On the other hand, Veritas Data Insight is known for managing unstructured data efficiently, bolstering data protection and compliance through its robust alert management and user risk-scoring features.

Room for Improvement: erwin Data Intelligence could improve its API and SDK integrations due to noted inconsistencies. Complexity in advanced functionalities presents a learning curve, and enhancements in metadata management for large datasets are desired. Veritas Data Insight could enhance its reporting capabilities and intelligence features, with room for improvement in pricing and customization to provide a streamlined experience.

Ease of Deployment and Customer Service: erwin Data Intelligence supports hybrid and multi-cloud deployments, offering flexibility with generally responsive technical support, though faster issue resolution is suggested. Veritas Data Insight is primarily an on-premises solution with a user-friendly interface and reliable support that users respect, often comparing it favorably against internal helpdesks. Some consistency challenges have arisen in erwin’s support following its transition to Quest.

Pricing and ROI: erwin Data Intelligence is noted for competitive pricing and favorable renewal terms, despite potential extra costs for customization. It demonstrates economic advantages through automation efficiencies. Veritas Data Insight’s per-terabyte pricing model might become costly in large-scale deployments, though it remains economical for organizations emphasizing unstructured data management and compliance.

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

Buyer's Guide

Quest Data Intelligence vs. Veritas Data Insight

August 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

Quest Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Metadata Management (7th), AI Governance (3rd)

Veritas Data Insight

Ranking in Data Governance

35th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Quest Data Intelligence is 2.5%, up from 2.0% compared to the previous year. The mindshare of Veritas Data Insight is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Quest Data Intelligence	2.5%
Veritas Data Insight	0.9%
Other	96.6%

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

"I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing."

"The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology."

"If I use a traditional ETL tool and build it through an IT port, it would take five days to build very simple data mapping to get it to the deployment phase, whereas using this solution, the IT cost will be cut down to less than a day."

"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."

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

"Erwin DI checked all the boxes for us."

"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 data catalog feature is pretty good."

More Quest Data Intelligence pros

"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."

"It's a good solution."

"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 solution allowed us to handle GDPR and we made sure we were ready and had storage optimization."

"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 stability has been great."

"I love Veritas support."

"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."

Cons

"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."

"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 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."

"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."

"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version."

"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive."

"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."

More Quest Data Intelligence cons

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

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

"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."

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

"I need more options for virtualization."

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

Pricing and Cost Advice

"Erwin Data Catalog is very expensive."

"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."

"The solution is aggressively priced."

"You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."

"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."

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

"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 too high."

More Quest Data Intelligence pricing and cost advice

"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."

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

"The solution is cost-effective."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Government

Construction Company

Outsourcing Company

Financial Services Firm

11%

Outsourcing Company

Manufacturing Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	16

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...

See all answers

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...

See all answers

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 5% of the time

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Compared 20% of the time

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Compared 17% of the time

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Compared 11% of the time

Netwrix Data Classification vs Veritas Data Insight

Compared 8% of the time

NetApp Cloud Data Sense vs Veritas Data Insight

Compared 7% of the time

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Product Reports

Buyer's Guide

Quest Data Intelligence

August 2026

Download Quest Data Intelligence product report

Buyer's Guide

Data Governance

August 2026

Download Veritas Data Insight product report

Also Known As

erwin DG, erwin Data Governance, erwin Data Catalog

No data available

Overview

erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.

Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.

What are the key features of erwin Data Intelligence?

Single Source of Truth: Centralizes data for consistent information across the organization.
Smart Data Connectors: Automate connections to data sources, enhancing efficiency.
Data Lineage: Tracks data pathways for better traceability and understanding.
Business Glossaries: Enables clear definitions and shared vocabulary for all users.
Metadata Management: Streamlines metadata organization and retrieval.
Impact Analysis: Assesses implications of data changes rapidly and accurately.

What benefits should users look for in reviews?

Enhanced Efficiency: Automation scripts reduce manual processes and increase productivity.
Improved Data Visualization: Mind maps facilitate an intuitive understanding of complex data.
Customizable Properties: Adapt metadata attributes to fit specific organizational requirements.
Unified View: Offers a comprehensive perspective of data governance practices.

Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.

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

Quest Data Intelligence vs. Veritas Data Insight

August 2026

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