Try our new research platform with insights from 80,000+ expert users

OvalEdge vs erwin Data Intelligence comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 19, 2025

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
Ranking in Data Governance
28th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
AI Governance (17th)
OvalEdge
Ranking in Data Governance
21st
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.8%, down from 2.5% compared to the previous year. The mindshare of OvalEdge is 0.5%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
OvalEdge0.5%
erwin Data Intelligence1.8%
Other97.7%
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.
AzhagarasanAnnadorai - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"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."
"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."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."
"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."
"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."
"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."
"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."
"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."
 

Cons

"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."
"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 is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."
"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."
"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."
"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."
"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."
"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
 

Pricing and Cost Advice

"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"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."
"There is an additional fee for the server maintenance."
"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."
"erwin's pricing was cheaper than its competitors."
"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 reasonable, and a subscription is required."
"The price is too high."
Information not available
report
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
869,566 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
26%
Financial Services Firm
11%
Government
7%
Insurance Company
6%
Financial Services Firm
11%
Computer Software Company
9%
Healthcare Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise4
Large Enterprise14
No data available
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Beaumont CHKD, UpWork, Pon, Rakuten, Verbund, Globe, Naranja
Find out what your peers are saying about OvalEdge vs. erwin Data Intelligence and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.