Quest Data Intelligence vs Veritas Data Insight comparison

Quest Software and Veritas are both solutions in the Data Governance category. Quest Software is ranked #19 with an average rating of 8.0, while Veritas is ranked #33. Quest Software holds a 2.1% 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

3,922 Views
3,765 Comparison Views

100% willing to recommend

Veritas Data Insight

Read 6 Veritas Data Insight reviews

1,719 Views
1,719 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: June 2026).

Buyer's Guide

Quest Data Intelligence vs. Veritas Data Insight

June 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

19th

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

33rd

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2026, in the Data Governance category, the mindshare of Quest Data Intelligence is 2.1%, up from 1.8% 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 (%)
erwin Data Intelligence	2.1%
Veritas Data Insight	0.9%
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 automated data lineage and impact analysis being driven from the mapping documents are astounding in reducing the time to research impact analysis from six to 16 weeks down to minutes, because it's a couple of clicks with a mouse."

"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."

"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."

"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."

"Erwin DI checked all the boxes for us."

"The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."

"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."

"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."

More Quest Data Intelligence pros

"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."

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

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

"I love Veritas support."

"The stability has been great."

"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 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."

"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."

"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."

"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."

"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."

"The data quality assessment requires third-party components and a separate license."

"The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."

More Quest Data Intelligence cons

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

"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."

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

"I need more options for virtualization."

"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."

"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."

Pricing and Cost Advice

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

"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 price is too high."

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

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

More Quest Data Intelligence pricing and cost advice

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

"The solution is cost-effective."

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

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Government

Manufacturing Company

Construction Company

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Outsourcing Company

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...

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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...

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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Product Reports

Buyer's Guide

Quest Data Intelligence

July 2026

Download Quest Data Intelligence product report

Buyer's Guide

Data Governance

July 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

June 2026

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