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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Helped 911,493 peers since 2012

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

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

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

"All features available are good."

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

"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 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."

"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."

"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."

"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."

"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 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."

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

"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."

More Quest Data Intelligence pros

Cons

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

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

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

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

"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."

"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."

"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."

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

"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."

"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."

"The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."

"I find that the time taken to realize value from erwin Data Intelligence can be quite long."

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

More Quest Data Intelligence cons

Pricing and Cost Advice

"Immuta's pricing is expensive."

"The solution is aggressively priced."

"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."

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

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

"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's pricing was cheaper than its competitors."

"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."

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

Comparisons

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Compared 8% of the time

BigID Next vs Immuta

Compared 8% of the time

Protegrity’s Data Protection Platform vs Immuta

Compared 7% of the time

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Compared 18% of the time

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Compared 10% of the time

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

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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