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

6,485 Views
5,188 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: September 2026).

Buyer's Guide

Data Governance

September 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."

"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 saves time in data discovery and understanding our entire organization's data."

"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 client is thrilled with higher quality, lower-cost products, and the services."

"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."

"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."

"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."

More Quest Data Intelligence pros

Cons

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

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

"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."

"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."

"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."

"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 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."

"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."

"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."

"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."

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 reasonable, and a subscription is required."

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

"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."

"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."

"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."

"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."

"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."

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%

Outsourcing Company

10%

Government

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

Compared 14% of the time

OneTrust DataGovernance vs Infogix Data360 Govern [EOL]

Compared 7% 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

Ataccama ONE Platform vs Quest Data Intelligence

Compared 4% of the time

More Quest Data Intelligence Competitors

Product Reports

Buyer's Guide

Data Governance

September 2026

Download Infogix Data360 Govern [EOL] product report

Buyer's Guide

Quest Data Intelligence

October 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: September 2026.

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