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Veritas Data Insight vs erwin Data Intelligence by Quest comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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 by ...
Ranking in Data Governance
9th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Veritas Data Insight
Ranking in Data Governance
17th
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 May 2025, in the Data Governance category, the mindshare of erwin Data Intelligence by Quest is 2.2%, down from 2.5% compared to the previous year. The mindshare of Veritas Data Insight is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Roy Pollack - PeerSpot reviewer
The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.
We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. 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.
Humberto Tahara - PeerSpot reviewer
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

"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."
"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."
"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 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."
"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 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."
"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."
"It's a good solution."
"The stability has been great."
"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 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."
"The features I find most valuable in Veritas Data Insight include its exceptional speed in classifying unstructured data and its user risk-scoring functionality."
"I love Veritas support."
 

Cons

"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 technical support could be improved."
"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."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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."
"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"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."
"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."
"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."
"Veritas Data Insight can improve the price."
"I need more options for virtualization."
"Veritas Data Insight's reporting capabilities require enhancement."
"The solution is not lacking any features at this time."
 

Pricing and Cost Advice

"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 is around $7,000 for user. This is an estimation."
"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 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 price is too high."
"The price is reasonable, and a subscription is required."
"erwin's pricing was cheaper than its competitors."
"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."
"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."
"It is my understanding that the license with one year of support is, per user, around 25 Euros."
"Licensing is based on the number of users or the usage in terabytes."
"The solution is cost-effective."
"The price of Veritas Data Insight could improve, it is expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
22%
Financial Services Firm
13%
Government
9%
Non Profit
6%
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about erwin Data Intelligence by Quest?
The data mapping manager is the most valuable feature.
What needs improvement with erwin Data Intelligence by Quest?
The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...
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. ...
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...
 

Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Information Not Available
Find out what your peers are saying about Veritas Data Insight vs. erwin Data Intelligence by Quest and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.