Infogix Data360 Govern [EOL] vs Quest Data Intelligence comparison

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Precisely and Quest Software are both solutions in the Data Governance category. Additionally, 100% of Precisely users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Infogix Data360 Govern [EOL]

Read 2 Infogix Data360 Govern [EOL] reviews

100% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

6,070 Views
4,795 Comparison Views

100% willing to recommend

Infogix Data360 Govern [EOL]

Quest Data Intelligence

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Executive SummaryUpdated on Jul 16, 2026

Erwin Data Intelligence and Infogix Data360 Govern [EOL] are competing products in data governance and intelligence. Erwin's superior scalability and strong feature set give it an advantage, while Infogix offers an intuitive user experience focused on comprehensive governance capabilities.

Features: Erwin Data Intelligence enhances data management with automated data discovery, robust data cataloging, and detailed data lineage. Infogix Data360 Govern [EOL] emphasizes end-to-end data governance, focusing on maintaining data quality and adhering to compliance standards while offering a comprehensive governance approach.

Ease of Deployment and Customer Service: Erwin Data Intelligence provides a seamless deployment experience complemented by extensive documentation and training. Infogix Data360 Govern [EOL] excels in customer support, delivering proactive and detailed assistance. Both products facilitate effective onboarding, with Erwin standing out for its simplicity in deployment compared to Infogix's robust support.

Pricing and ROI: Erwin Data Intelligence demands a higher initial investment but delivers strong ROI through automation and reduced operational costs. Infogix Data360 Govern [EOL] offers competitive pricing, appealing for smaller organizations with a focus on governance and compliance, providing quick ROI due to its cost-effective solutions.

To learn more, read our detailed Data Governance Report (Updated: August 2026).

Buyer's Guide

Data Governance

August 2026

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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

Infogix Data360 Govern [EOL]

Average Rating

10.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Quest Data Intelligence

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Governance (17th), Metadata Management (7th), AI Governance (3rd)

Featured Reviews

Delmar Assis

CEO at a tech services company with 51-200 employees

Helpful support that is easy to speak with, reliable with no problems of instances of unavailability

There are three main areas that need to be improved. * The 360-degree view for the customers needs to be improved. The data should be more unified and cleaner. * Regulatory compliance needs to be achieved. * The governance itself needs improvement. It should be organized and linked to the data catalog and the business glossary, which would give a full view of the customer data. We would like to have the application available in Portuguese and Spanish. This is something that we have spoken with the vendor about.

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Jog Raj

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.

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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

"It is an integrated solution that provides end-to-end capabilities for managing the data. It is very useful for cleaning the data. It also allows us to combine data from on-premises and cloud sources. On this unified data, we can perform some advanced analytics to predict customer behavior and create new products. Its management and governance capabilities are valuable. It provides full tracking of the data flow. It provides customers the full control over the data and the ability to protect the data. It enables us to provide the best service to the customers. We also get great support from Infogix."

"This is one of the best technical support groups that I have dealt with, as Infogix support stands out in terms of quality and response time, and it is really easy to speak with them by phone or by email."

"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."

"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."

"By using the data catalog, we have definitely improved in terms of maturity as a data-driven decision-maker organization, and we are now getting to a level where everybody understands the data, understands how it is organized, and how they can use this data for different business decisions."

"I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing."

"This type of solution was key to moving our entire company in the right direction by getting everyone to think about data governance."

"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 main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes."

More Quest Data Intelligence pros

Cons

"We would like this solution to be available in our local language like Portuguese and Spanish."

"The 360-degree view for the customers needs to be improved."

"We would like this solution to be available in our local language. In our region, people are not fluent in English. It would be nice to have this solution in Portuguese and Spanish. Its workflows are great, but it would be useful to have business flow at a high level because we need to work together with business users. We need more capabilities for business users to understand something in terms of data."

"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."

"There is room for improvement in automation, no question."

"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."

"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."

"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."

"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."

"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."

"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 Quest Data Intelligence cons

Pricing and Cost Advice

"Its price is much lower than Informatica. Its licensing is very easy to understand. It is not too complex. There is no maintenance fee. The support is included with the license. Its licensing is subscription-based, which makes it easy to define the budget and other things. It also makes it easier to plan and understand how to use the solution. It uses the pay-as-you-use model, so you can start small and expand the solution and pay as per your usage."

"The price is too high."

"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 solution is aggressively priced."

"Erwin Data Catalog is very expensive."

"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."

"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."

"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 Quest Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Government

Outsourcing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	16

Questions from the Community

Ask a question

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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...

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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.

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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...

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Comparisons

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Compared 25% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Infogix Data360 Govern [EOL]

Compared 20% of the time

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Compared 17% of the time

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Compared 9% of the time

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

Compared 6% of the time

Global Data Excellence DEMS vs Quest Data Intelligence

Compared 5% of the time

Microsoft Purview Data Governance vs Quest Data Intelligence

Compared 5% of the time

More Quest Data Intelligence Competitors

Product Reports

Buyer's Guide

Data Governance

August 2026

Download Infogix Data360 Govern [EOL] product report

Buyer's Guide

Quest Data Intelligence

August 2026

Download Quest Data Intelligence product report

Also Known As

No data available

erwin DG, erwin Data Governance, erwin Data Catalog

Overview

Data360’s top-down approach to Data Governance makes it easy to understand the critical information that impacts business objectives and initiatives, thereby helping data governance team members focus on the data that matters.

Precisely

erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.

Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.

What are the key features of erwin Data Intelligence?

Single Source of Truth: Centralizes data for consistent information across the organization.
Smart Data Connectors: Automate connections to data sources, enhancing efficiency.
Data Lineage: Tracks data pathways for better traceability and understanding.
Business Glossaries: Enables clear definitions and shared vocabulary for all users.
Metadata Management: Streamlines metadata organization and retrieval.
Impact Analysis: Assesses implications of data changes rapidly and accurately.

What benefits should users look for in reviews?

Enhanced Efficiency: Automation scripts reduce manual processes and increase productivity.
Improved Data Visualization: Mind maps facilitate an intuitive understanding of complex data.
Customizable Properties: Adapt metadata attributes to fit specific organizational requirements.
Unified View: Offers a comprehensive perspective of data governance practices.

Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.

Quest Software

Sample Customers

Keurig Green Mountain

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: August 2026.

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