Immuta vs Quest Data Intelligence comparison

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 #19 with an average rating of 8.0. Immuta holds a 2.1% mindshare in DG, compared to Quest Software’s 2.1% 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

2,980 Views
1,907 Comparison Views

100% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

3,922 Views
3,765 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: June 2026).

Buyer's Guide

Immuta vs. Quest Data Intelligence

June 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 (23rd)

Quest Data Intelligence

Ranking in Data Governance

19th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Mindshare comparison

As of July 2026, in the Data Governance category, the mindshare of Immuta is 2.1%, up from 1.4% compared to the previous year. The mindshare of Quest Data Intelligence is 2.1%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	2.1%
Immuta	2.1%
Other	95.8%

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.

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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

"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."

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

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

"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."

"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."

"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."

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

"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."

"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."

"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."

"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."

"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."

More Quest Data Intelligence pros

Cons

"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."

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

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

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

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

"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."

"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 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."

"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 data quality assessment requires third-party components and a separate license."

"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."

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

"In my opinion, the analytics part of erwin Data Intelligence is not satisfactory."

More Quest Data Intelligence cons

Pricing and Cost Advice

"Immuta's pricing is expensive."

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

"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."

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

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

"The price is too high."

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

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

More Quest Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Construction Company

11%

Manufacturing Company

10%

Computer Software Company

Financial Services Firm

16%

Government

Manufacturing 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

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 ...

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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...

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Product Reports

Buyer's Guide

Data Governance

July 2026

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Buyer's Guide

Quest Data Intelligence

July 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

June 2026

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