OvalEdge vs erwin Data Intelligence by Quest comparison

erwin by Quest and OvalEdge are both solutions in the Data Governance category. erwin by Quest is ranked #9 with an average rating of 8.2, while OvalEdge is ranked #20 with an average rating of 9.0. erwin by Quest holds a 2.1% mindshare in DG, compared to OvalEdge’s 0.5% mindshare. Additionally, 100% of erwin by Quest users are willing to recommend the solution, compared to 100% of OvalEdge users who would recommend it.

erwin Data Intelligence by ...

Read 18 erwin Data Intelligence by Quest reviews

3,571 Views
939 Comparison Views

100% willing to recommend

OvalEdge

Read 2 OvalEdge reviews

355 Views
202 Comparison Views

100% willing to recommend

erwin Data Intelligence by ...

OvalEdge

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between erwin Data Intelligence by Quest and OvalEdge based on real PeerSpot user reviews.

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed OvalEdge vs. erwin Data Intelligence by Quest Report (Updated: March 2025).

Buyer's Guide

OvalEdge vs. erwin Data Intelligence by Quest

March 2025

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Helped 846,617 peers since 2012

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

Ranking in other categories

No ranking in other categories

OvalEdge

Ranking in Data Governance

20th

Average Rating

9.0

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Governance category, the mindshare of erwin Data Intelligence by Quest is 2.1%, down from 2.5% compared to the previous year. The mindshare of OvalEdge is 0.5%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance

Featured Reviews

Roy Pollack

Advisor Application Architect at CPS Energy

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

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.

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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

"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."

"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."

"The data mapping manager is the most valuable feature."

"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."

"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 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."

"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 by Quest 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

"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."

"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."

"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 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."

"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 technical support could be improved."

"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."

More erwin Data Intelligence by Quest cons

"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 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."

"The licensing cost is around $7,000 for user. This is an estimation."

"There is an additional fee for the server maintenance."

"The solution is aggressively priced."

"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 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."

More erwin Data Intelligence by Quest pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

22%

Financial Services Firm

13%

Government

Non Profit

Financial Services Firm

13%

Healthcare Company

10%

Computer Software Company

Transportation Company

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.

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What is your experience regarding pricing and costs for erwin Data Intelligence by Quest?

The price is reasonable, and a subscription is required.

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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...

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Comparisons

Microsoft Purview Data Governance vs erwin Data Intelligence by Quest

Compared 31% of the time

Collibra Governance vs erwin Data Intelligence by Quest

Compared 22% of the time

Alation Data Catalog vs erwin Data Intelligence by Quest

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence by Quest

Compared 9% of the time

Collibra Lineage vs erwin Data Intelligence by Quest

Compared 9% of the time

More erwin Data Intelligence by Quest Competitors

Microsoft Purview Data Governance vs OvalEdge

Compared 69% of the time

Collibra Governance vs OvalEdge

Compared 31% of the time

More OvalEdge Competitors

Product Reports

Buyer's Guide

erwin Data Intelligence by Quest

April 2025

Download erwin Data Intelligence by Quest product report

Buyer's Guide

Data Governance

April 2025

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Also Known As

erwin DG, erwin Data Governance

No data available

Overview

The erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.

erwin by Quest

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 by Quest

March 2025

Free Report: OvalEdge vs. erwin Data Intelligence by Quest

Find out what your peers are saying about OvalEdge vs. erwin Data Intelligence by Quest and other solutions. Updated: March 2025.

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