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OvalEdge vs Quest Data Intelligence 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

OvalEdge
Ranking in Data Governance
28th
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Quest Data Intelligence
Ranking in Data Governance
18th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Metadata Management (7th), AI Governance (3rd)
 

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of OvalEdge is 0.8%, up from 0.4% compared to the previous year. The mindshare of Quest Data Intelligence is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.5%
OvalEdge0.8%
Other96.7%
Data Governance
 

Featured Reviews

AzhagarasanAnnadorai - PeerSpot reviewer
Founder at Kaizentric Technologies Private Limited
Enables comprehensive data governance with role-based access and directory integration
The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary. The role-based access control and integration with the directory system allow strict governance and limited user access. The APIs are comprehensive, enabling integration with other systems even for creating virtual data catalogs.
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.

Quotes from Members

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

Pros

"The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary."
"Over time, OvalEdge has improved significantly."
"Data governance is helping us become even a better company because we know our data and how to use it."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"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 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."
"This tool has taken us from having nothing to being very efficient."
"There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable."
"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 interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
 

Cons

"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."
"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 solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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."
"I find that the time taken to realize value from erwin Data Intelligence can be quite long."
"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."
 

Pricing and Cost Advice

Information not available
"The solution is aggressively priced."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"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."
"erwin's pricing was cheaper than its competitors."
"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."
"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."
"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."
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Top Industries

By visitors reading reviews
Construction Company
18%
Comms Service Provider
16%
Financial Services Firm
12%
Outsourcing Company
11%
Financial Services Firm
14%
Government
9%
Construction Company
8%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

What is your experience regarding pricing and costs for OvalEdge?
The pricing is affordable compared to other tools, and we opted for 500 user license.
What needs improvement with OvalEdge?
The lack of connectivity to mainframe systems and the complexity of integration with legacy data systems are areas needing improvement. Advanced jobs require extra training and fine-tuning, making ...
What is your primary use case for OvalEdge?
GDPR compliance and enabling users to understand the transformation of data from one database to another. It is used mainly as a data catalog for data discovery, allowing users to understand the da...
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...
 

Also Known As

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

Overview

 

Sample Customers

Beaumont CHKD, UpWork, Pon, Rakuten, Verbund, Globe, Naranja
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about OvalEdge vs. Quest Data Intelligence and other solutions. Updated: August 2026.
911,493 professionals have used our research since 2012.