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Quest Data Intelligence vs Veritas Data Insight comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jul 16, 2026

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
17th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
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
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Governance category, the mindshare of Quest Data Intelligence is 2.8%, up from 1.9% compared to the previous year. The mindshare of Veritas Data Insight is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.8%
Veritas Data Insight0.9%
Other96.3%
Data Governance
 

Featured Reviews

Jog Raj - PeerSpot reviewer
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.
Humberto Tahara - PeerSpot reviewer
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…

Quotes from Members

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

Pros

"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."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"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."
"The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes."
"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."
"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."
"By using the data catalog, we have definitely improved in terms of maturity as a data-driven decision-maker organization, and we are now getting to a level where everybody understands the data, understands how it is organized, and how they can use this data for different business decisions."
"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 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 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."
"It's a good solution."
"The stability has been great."
"I love Veritas support."
 

Cons

"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."
"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."
"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 data quality assessment requires third-party components and a separate license."
"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."
"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."
"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 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."
"I need more options for virtualization."
"The solution is not lacking any features at this time."
"Veritas Data Insight's reporting capabilities require enhancement."
"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."
"Its deployment can be a little bit complex. It should be easier to set up."
"The price of Veritas Data Insight could improve, it is expensive."
"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 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 licensing cost is around $7,000 for user. This is an estimation."
"There is an additional fee for the server maintenance."
"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."
"Erwin Data Catalog is very expensive."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"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."
"The solution is aggressively priced."
"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."
"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 solution is cost-effective."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
10%
Government
9%
Construction Company
8%
Financial Services Firm
12%
Outsourcing Company
9%
Comms Service Provider
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
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...
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.
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...
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.
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...
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.
 

Also Known As

erwin DG, erwin Data Governance, erwin Data Catalog
No data available
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Information Not Available
Find out what your peers are saying about Quest Data Intelligence vs. Veritas Data Insight and other solutions. Updated: September 2026.
916,771 professionals have used our research since 2012.