Immuta vs Quest Data Intelligence comparison

Why PeerSpot?

Immuta and Quest Software are both solutions in the Data Governance category. Immuta is ranked #25 with an average rating of 8.0, while Quest Software is ranked #18 with an average rating of 8.0. Immuta holds a 2.0% mindshare in DG, compared to Quest Software’s 2.5% mindshare. Additionally, 100% of Immuta users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Immuta

Read 5 Immuta reviews

3,317 Views
2,057 Comparison Views

100% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

5,399 Views
4,265 Comparison Views

100% willing to recommend

Immuta

Quest Data Intelligence

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Executive SummaryUpdated on Jul 16, 2026

Erwin Data Intelligence and Immuta are two competitive data intelligence solutions. While erwin may offer better pricing and customer support, Immuta leads in advanced features and functionalities.

Features: Erwin Data Intelligence showcases comprehensive data mapping, metadata management, and governance, designed for extensive enterprise usage. Immuta focuses on data access control, policy enforcement, and dynamic data masking, appealing to organizations prioritizing security and compliance.

Room for Improvement: Erwin could enhance its user interface for better ease of use, expand its cloud integration capabilities, and improve automation features for more flexibility. Immuta might benefit from diversifying its metadata management options, enhancing documentation for easier user navigation, and optimizing its API integrations.

Ease of Deployment and Customer Service: Erwin offers a straightforward deployment model with responsive support, making it suitable for organizations seeking a simple setup process. Immuta provides flexible deployment options, including cloud solutions, backed by robust support for tech-savvy businesses.

Pricing and ROI: Erwin offers competitive pricing with a focus on rapid ROI through efficient implementation and broad applicability. Immuta's pricing reflects its premium feature set, potentially involving a higher initial cost but promising considerable long-term ROI for compliance-driven organizations.

To learn more, read our detailed Immuta vs. Quest Data Intelligence Report (Updated: August 2026).

Buyer's Guide

Immuta vs. Quest Data Intelligence

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

Immuta

Ranking in Data Governance

25th

Average Rating

7.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Security Posture Management (DSPM) (15th), AI Data Analysis (25th)

Quest Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

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

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Immuta is 2.0%, up from 1.3% compared to the previous year. The mindshare of Quest Data Intelligence is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Quest Data Intelligence	2.5%
Immuta	2.0%
Other	95.5%

Data Governance

Featured Reviews

Dibyajyoti Rath

Data Analyst at a consultancy with 10,001+ employees

Centralized access control has secured sensitive data and supports compliant self-service analytics

Immuta is very helpful, but it can be improved in a few areas. The initial setup and policy design can be complex and require a learning curve. The user interface could be more interactive, especially for non-technical users. Policy troubleshooting and debugging could be easier with better visibility into why access was allowed or denied. Performance optimization and deeper integration with more tools could make it even better. Additional improvements would strengthen Immuta further. The documentation and real-world examples would help teams onboard faster. More out-of-the-box policy templates could reduce setup time. Improved policy simulation and testing would help teams understand the impact of changes before applying them. Stronger alerting and monitoring features would help quickly identify access issues. Finally, more end-user training and simplified workflows would make it easier for business users to adopt.

Read full review

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

"What I appreciate the most is its user-friendliness."

"The tool's most valuable feature is restriction."

"Instead of manually tagging data, Immuta’s auto-discovery capability identifies sensitive information, such as country labels, gender information, and other personal data."

"All features available are good."

"Immuta has had a very positive impact on our organization, helping us strengthen data security by ensuring sensitive data is only accessible to the right users, simplifying compliance with clear audit trails and consistent policy enforcement, reducing manual access management to save time for data and security teams, and enabling safe self-service analytics so our team can access data faster while still meeting governance and regulatory requirements."

"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 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 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."

"This tool has taken us from having nothing to being very efficient."

"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."

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

"Data governance is helping us become even a better company because we know our data and how to use it."

More Quest Data Intelligence pros

Cons

"Immuta is behind in updating upgrades and software releases."

"Immuta is very helpful, but it can be improved in a few areas."

"We have had some challenges with their support when we were migrating to the cloud version. We we had some issues, and it took us several attempts to get a proper responses as part of that migration."

"There is room for improvement in enhancing the monitoring capabilities."

"The implementation process with Immuta was quite challenging, primarily due to issues related to database handling and the syncing of user groups."

"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."

"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."

"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."

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

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

"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."

More Quest Data Intelligence cons

Pricing and Cost Advice

"Immuta's pricing is expensive."

"The price is too high."

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

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

"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."

"The solution is aggressively priced."

"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."

"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."

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

More Quest Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Construction Company

11%

Manufacturing Company

10%

Computer Software Company

Financial Services Firm

14%

Government

Construction Company

Outsourcing 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

What needs improvement with Immuta?

See all answers

What is your primary use case for Immuta?

My main use case for Immuta is data governance. In my project, which is a data governance project, I use Immuta as a centralized data access management tool. A specific example of how I use Immuta ...

See all answers

What advice do you have for others considering Immuta?

My advice for others considering Immuta would be to plan your policies carefully. Think through roles, data sensitivity, and use cases before setup. Invest in training to ensure both technical and ...

See all answers

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.

See all answers

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...

See all answers

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Compared 7% of the time

Microsoft Purview Data Governance vs Quest Data Intelligence

Compared 5% of the time

Global Data Excellence DEMS vs Quest Data Intelligence

Compared 5% of the time

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Product Reports

Buyer's Guide

Data Governance

August 2026

Download Immuta 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

Immuta ensures secure, controlled access to sensitive data, excelling in data governance, regulatory compliance, and privacy. Key features include dynamic policy enforcement, fine-grained access control, and seamless integration with diverse data sources. Users report improved operational efficiency and enhanced teamwork.

Immuta

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

Information Not Available

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Buyer's Guide

Immuta vs. Quest Data Intelligence

August 2026

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