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OvalEdge vs erwin Data Intelligence comparison

Quest Software and OvalEdge are both solutions in the Data Governance category. Quest Software is ranked #18 with an average rating of 7.0, while OvalEdge is ranked #21 with an average rating of 9.0. Quest Software holds a 1.9% mindshare in DG, compared to OvalEdge’s 0.5% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of OvalEdge users who would recommend it.
erwin Data Intelligence
Read 18 erwin Data Intelligence reviews
  • 3,040 Views
  • 3,040 Comparison Views
100% willing to recommend
OvalEdge
Read 2 OvalEdge reviews
  • 415 Views
  • 411 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 19, 2025

Erwin Data Intelligence and OvalEdge compete in the data management industry, focusing on data governance and analytics. OvalEdge is seen as the superior option because of its expansive features for business analysis.

Features: Erwin Data Intelligence is known for its scalability, strong metadata management, and data lineage visualization, which support robust data governance. OvalEdge offers a data catalog, advanced analytics capabilities, and collaboration tools for insightful decision-making, making it more versatile in business settings.

Ease of Deployment and Customer Service: Erwin Data Intelligence provides easy cloud-based deployment with excellent customer support, which eases integration. OvalEdge requires more effort in deployment due to complex configurations but compensates with dedicated support to assist clients through the implementation process.

Pricing and ROI: Erwin Data Intelligence offers competitive pricing, appealing to large enterprises with its scalable solutions for higher ROI. OvalEdge is priced higher, reflecting its broad feature set. While Erwin provides cost-effective solutions, OvalEdge's higher initial costs are offset by long-term benefits in analytics and governance.

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To learn more, read our detailed OvalEdge vs. erwin Data Intelligence Report (Updated: July 2025).
Buyer's Guide
OvalEdge vs. erwin Data Intelligence
July 2025
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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

erwin Data Intelligence
Ranking in Data Governance
18th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
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 August 2025, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.9%, 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
 

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.
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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.
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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

"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 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 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."
"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."
"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."
"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."
"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."
"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."
More erwin Data Intelligence pros
"Over time, OvalEdge has improved significantly."
"The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary."
 

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."
"The technical support could be improved."
"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."
"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 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 data quality assessment requires third-party components and a separate license."
"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."
"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."
More erwin Data Intelligence cons
"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's pricing was cheaper than its competitors."
"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."
"The price is reasonable, and a subscription is required."
"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 price is too high."
"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."
More erwin Data Intelligence pricing and cost advice
Information not available
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Top Industries

By visitors reading reviews
Computer Software Company
24%
Financial Services Firm
10%
Government
9%
Non Profit
7%
Healthcare Company
12%
Financial Services Firm
11%
Computer Software Company
8%
Comms Service Provider
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.
See all answers
What is your experience regarding pricing and costs for erwin Data Intelligence by Quest?
The price is reasonable, and a subscription is required.
See all answers
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...
See all answers
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.
See all answers
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 ...
See all answers
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...
See all answers
 

Comparisons

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Compared 10% of the time
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Compared 10% of the time
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Compared 8% of the time
More erwin Data Intelligence Competitors
Microsoft Purview Data Governance vs OvalEdge Logo
Microsoft Purview Data Governance vs OvalEdge
Compared 100% of the time
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Product Reports

Buyer's Guide
erwin Data Intelligence
August 2025
erwin Data Intelligence reportDownload erwin Data Intelligence product report
Buyer's Guide
Data Governance
July 2025
OvalEdge reportDownload OvalEdge product report
 

Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?
  • Automation Scripts: Speeds up development processes through powerful scripts.
  • Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
  • Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
  • Customization Flexibility: Adapts to existing infrastructure for seamless integration.
  • Comprehensive Visualization: Empowers data visualization and standardization processes.
What benefits and ROI can users expect?
  • Increased Development Speed: Automation scripts notably enhance development efficiency.
  • Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
  • Effective Integration: Seamlessly fits with ETL tools and existing workflows.
  • Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
  • Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software


OvalEdge is a data catalog and data governance tool that virtually centralizes all of a company's data into a single repository or catalog. OvalEdge provides a progressive approach to data governance, helping companies to:

Catalog: Make data asset discovery easy by automatically cataloging your enterprise data assets.

Collaborate: Provide a self-service collaborative experience for your analytics, data, and business teams that helps them find, understand, enrich, and share data assets quickly and easily.

Comply: Define and apply data controls that ensure data quality, enforce data governance policies, and verify that the business is meeting compliance requirements and minimizing risk.

OvalEdge runs on lean infrastructure. Also, since it is architected with an open framework, it can be seamlessly integrated with other applications.

OvalEdge
 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Beaumont CHKD, UpWork, Pon, Rakuten, Verbund, Globe, Naranja
Buyer's Guide
OvalEdge vs. erwin Data Intelligence
July 2025
Free Report: OvalEdge vs. erwin Data Intelligence
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