IBM InfoSphere Information Governance Catalog vs Quest Data Intelligence comparison

IBM and Quest Software are both solutions in the Metadata Management category. Additionally, 72% of IBM users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

IBM InfoSphere Information ...

Read 9 IBM InfoSphere Information Governance Catalog reviews

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948 Comparison Views

72% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

100% willing to recommend

IBM InfoSphere Information ...

Quest Data Intelligence

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Executive SummaryUpdated on Jul 16, 2026

In the realm of data intelligence and information governance, erwin Data Intelligence and IBM InfoSphere Information Governance Catalog compete fiercely. While erwin is favored for automation and flexibility, IBM is preferred for handling complex data scenarios through superior integration.

Features: Erwin Data Intelligence includes smart data connectors, business glossaries, and data mapping capabilities. Automated reverse engineering and strong metadata management make it valuable for simplifying collaboration and standardizing data. IBM InfoSphere offers lineage and data analytics, interfacing with diverse sources, making it ideal for complex data management.

Room for Improvement: Erwin faces issues with its user interface, customization, and integration complexities. Its automation scripts need enhancement. IBM has a complex interface with limited connectors and scalability concerns. Simplifying user experience and expanding connector support would benefit IBM.

Ease of Deployment and Customer Service: Erwin offers hybrid cloud deployment and generally responsive support, though some report slow responses. IBM is primarily on-premises, experiencing deployment and integration difficulties. Erwin is noted for outstanding support, whereas IBM is seen as adept but occasionally inflexible.

Pricing and ROI: Erwin is more cost-effective with reasonable feature-based pricing, offering strong ROI through process efficiency. However, it incurs costs for additional connectors and licenses. IBM is regarded as costly, with pricing based on record numbers leading to high expenses. Erwin is perceived to provide better value for money.

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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

IBM InfoSphere Information ...

Average Rating

7.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Metadata Management (8th)

Quest Data Intelligence

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Governance (19th), AI Governance (3rd)

Featured Reviews

Data Architect Insurance Co.

Data Architect at a insurance company with 10,001+ employees

Provides good catalog integration but requires too much coding

This is a complex solution and quite expensive. The technology has changed and I think IBM needs to be more flexible with their licensing model. We've been with them for over 10 years and they were unable to provide decent options for us. As the consumer, they weren't offering much flexibility and certainly not the support we were looking for given our long-standing relationship with them. There is also too much coding required compared with other solutions where you can do a lot directly in the environment and see how the policies apply.

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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

"IBM tools always get inherent trust from companies."

"The best feature of IBM InfoSphere Information Governance Catalog for me is that it's easy to use and only requires a little bit of manual intervention. Once you discover the data sources, everything flows into the tool automatically, so you do not have to map it manually. There's been a lot of automation in the solution which I like best."

"Working on the roles, actually, is the most valuable aspect."

"The ability to create special rules inside the solution using Portuguese is the most valuable feature."

"What I liked about IBM InfoSphere Information Governance Catalog is that it seemed to have most of the options that you would want from a government catalog and the features of the product are very rich and comprehensive."

"The solution allows us to leverage a concept called Open IGC to create custom assets and data lineages that are not technologies typically supported by IBM via connectors."

"Anyone looking into using IBM InfoSphere Information Governance Catalog should go for it because it's a leading governance provider, and IBM is known across the globe."

"It helped us streamline and organize our data."

More IBM InfoSphere Information Governance Catalog pros

"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."

"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."

"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."

"The automated data lineage and impact analysis being driven from the mapping documents are astounding in reducing the time to research impact analysis from six to 16 weeks down to minutes, because it's a couple of clicks with a mouse."

"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."

"The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology."

"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."

More Quest Data Intelligence pros

Cons

"There were two failed installations and IBM could never actually get the product to work."

"The simplicity of usage could improve. Perhaps the simplicity of use for end users, not for system integrators, but for the user, the end users."

"The scalability has room for improvement."

"They need to improve asset management."

"A few years ago, I would have rated the solution an eight or nine. With competition in the market and other products available, IBM needs to focus on fixing existing issues and adding more customizable features that provide the end user with a better product."

"An area for improvement in IBM InfoSphere Information Governance Catalog is that it's missing a lot of connectors. Clients complain about not being able to connect some data sources because there's no available connector, so my company raised that issue with IBM. In some cases, third-party connectors are available, but not for all data sources. Another area that needs improvement in the solution is stability because it also has some stability issues. This is the same issue with the other IBM products bundled with IBM InfoSphere Information Governance Catalog. The solution is connected with IBM Infosphere Information Analyzer and IBM InfoSphere DataStage in my company, so if one has issues with stability, the rest of the products are affected as well."

"What could be improved in IBM InfoSphere Information Governance Catalog is its query tool, including its terms, labels, and reports because the query tool isn't user-friendly. This would also be an additional feature or enhancement in the solution that would make it more attractive to users and would make IBM InfoSphere Information Governance Catalog a really good solution."

"The solution has performance issues when scaling up small sets of information such as assets and data lineage to the ITC."

More IBM InfoSphere Information Governance Catalog cons

"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."

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

"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."

"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."

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

"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."

"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."

More Quest Data Intelligence cons

Pricing and Cost Advice

"In terms of pricing, I find IBM InfoSphere Information Governance Catalog excessive. It's at the top end of the price range in terms of what you get for your money. It's an expensive product, and contractually, IBM is difficult to deal with. I can't remember the exact cost of IBM InfoSphere Information Governance Catalog, but it could be in the region of three hundred thousand pounds."

"IBM InfoSphere Information Governance Catalog is expensive."

"Licensing fees are paid on a yearly basis."

"Licensing for IBM InfoSphere Information Governance Catalog is per user."

"The solution is aggressively priced."

"erwin's pricing was cheaper than its competitors."

"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."

"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."

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

"Erwin Data Catalog is very expensive."

"The price is reasonable, and a subscription is required."

"The price is too high."

More Quest Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Manufacturing Company

13%

Government

University

Financial Services Firm

16%

Government

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	6

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

Questions from the Community

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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...

See all answers

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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IBM Watson Knowledge Catalog vs IBM InfoSphere Information Governance Catalog

Compared 16% of the time

IBM InfoSphere Information Server vs IBM InfoSphere Information Governance Catalog

Compared 10% of the time

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Compared 20% of the time

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

Compared 9% of the time

Microsoft Purview Data Governance vs Quest Data Intelligence

Compared 7% of the time

Securiti vs Quest Data Intelligence

Compared 2% of the time

More Quest Data Intelligence Competitors

Product Reports

Buyer's Guide

IBM InfoSphere Information Governance Catalog

July 2026

IBM InfoSphere Information Governance Catalog report

Download IBM InfoSphere Information Governance Catalog product report

Buyer's Guide

Quest Data Intelligence

July 2026

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Also Known As

IBM Information Governance Catalog

erwin DG, erwin Data Governance, erwin Data Catalog

Overview

IBM InfoSphere Information Governance Catalog delivers a user-friendly, automated, and scalable data governance solution that enhances data management through features like role management, metadata asset management, and data lineage capabilities.

IBM InfoSphere Information Governance Catalog revolutionizes data management by offering comprehensive features designed to simplify and enhance data governance. While it integrates seamlessly with modern data sources and supports data lineage, the platform faces challenges with legacy systems and licensing flexibility. Its user-friendly interface and automation features make it a valuable tool in data analytics and governance, enabling organizations to streamline operations and improve decision-making.

What are the key features of IBM InfoSphere Information Governance Catalog?

User-friendly interface: Simplifies navigation and access to data management tools.
Automation: Streamlines workflows and reduces manual effort in data governance.
Scalability: Adapts to growing data needs and expands with organizational growth.
Role management: Efficiently manages user roles and permissions.
Metadata asset manager: Organizes and categorizes data for easy access and management.
Data lineage: Tracks data flow across systems for enhanced analytics and compliance.
Multiple data source connectors: Integrates with various data inputs for seamless data management.

What benefits and ROI should be considered when evaluating IBM InfoSphere Information Governance Catalog?

Enhanced decision-making: Provides structured data insights to drive strategic decisions.
Improved data consistency: Ensures uniformity in data naming conventions and source monitoring.
Business term association: Links business jargon with data assets for better understanding.
End-to-end data workflows: Facilitates comprehensive data management from source to analytics.

In industries such as automotive, insurance, and healthcare, IBM InfoSphere Information Governance Catalog aids by addressing data inconsistencies and supporting the creation of business glossaries. It supports end-to-end data workflows, significantly impacting these sectors by enhancing metadata management and glossary maintenance. Through integration with existing tools, it helps enhance data-driven decision-making by defining and enriching critical information.

IBM

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

Rabobank, QuadReal Property Group, Jakarta Smart City

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: June 2026.

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