Microsoft Purview Data Lifecycle Management vs Quest Data Intelligence comparison

Microsoft and Quest Software are both solutions in the Data Governance category. Microsoft is ranked #26 with an average rating of 8.5, while Quest Software is ranked #19 with an average rating of 8.0. Microsoft holds a 1.3% mindshare in DG, compared to Quest Software’s 2.1% mindshare. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Microsoft Purview Data Life...

Read 5 Microsoft Purview Data Lifecycle Management reviews

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1,139 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

Microsoft Purview Data Life...

Quest Data Intelligence

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Executive SummaryUpdated on Jul 16, 2026

erwin Data Intelligence and Microsoft Purview Data Lifecycle Management compete in data management and analysis. erwin Data Intelligence has an advantage in pricing satisfaction and support, while Microsoft Purview Data Lifecycle Management offers extensive features and integration within the Microsoft ecosystem.

Features: erwin Data Intelligence provides comprehensive data governance, detailed data lineage visibility, and robust metadata management. Microsoft Purview Data Lifecycle Management offers strong integration into the Microsoft ecosystem, advanced data categorization, and automated data retention policies.

Room for Improvement: erwin Data Intelligence could improve by enhancing integration capabilities beyond its current offerings, making its user interface more intuitive, and reducing the learning curve for non-technical users. Microsoft Purview Data Lifecycle Management could enhance cross-platform data management capabilities, provide more flexible customization options, and improve the clarity of its pricing structure.

Ease of Deployment and Customer Service: erwin Data Intelligence offers customizable deployment options and strong customer service, providing flexibility in setup. Microsoft Purview Data Lifecycle Management features streamlined, cloud-based integration that aligns well with Microsoft environments, easing deployment and usage for existing Microsoft customers.

Pricing and ROI: erwin Data Intelligence often involves a higher initial setup cost but is perceived as delivering substantial ROI through comprehensive insights. Microsoft Purview Data Lifecycle Management offers competitive pricing and cost-effectiveness, benefiting from its seamless integration into Microsoft services.

To learn more, read our detailed Microsoft Purview Data Lifecycle Management vs. Quest Data Intelligence Report (Updated: June 2026).

Buyer's Guide

Microsoft Purview Data Lifecycle Management 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

Microsoft Purview Data Life...

Ranking in Data Governance

26th

Average Rating

8.4

Reviews Sentiment

5.2

Number of Reviews

Ranking in other categories

Email Archiving (8th), Document Management Software (5th), Microsoft Security Suite (28th)

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 Microsoft Purview Data Lifecycle Management is 1.3%, up from 0.6% 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%
Microsoft Purview Data Lifecycle Management	1.3%
Other	96.6%

Data Governance

Featured Reviews

Steven Thomson

Ict Systems Manager at Lltnpa

Automated retention has transformed compliance workflows and now simplifies audit responses

The deep native integration with Microsoft 365 is what ultimately made me decide on Microsoft Purview Data Lifecycle Management over Enterprise Vault and OpenText Content Manager. Auto-apply retention labels using machine learning is the specific integration with Microsoft 365 that made it the deciding factor for me over Enterprise Vault or OpenText. Manually labeling content at our data volumes is not realistic. The automated classification based on sensitive information types and trainable classifiers is what makes the program actually scale. That feature gets used constantly. We went from inconsistent ad-hoc retention practices to a consistent, automated, documented program across the whole organization with Microsoft Purview Data Lifecycle Management. That shift from a compliance audit perspective is enormous.

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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

"HPE Apollo Systems has positively impacted our organization by improving business operations by eighty percent, saving time, improving efficiency, and facilitating the management of large data sets."

"The UI is the most valuable feature."

"The system is stable; I haven't encountered any worldwide stability issues unlike other office products."

"The impact of Microsoft Purview Data Lifecycle Management on my unified data catalog has improved a lot; the improvements I see are in the lineage, the discovery, and the labeling."

"We went from inconsistent ad-hoc retention practices to a consistent, automated, documented program across the whole organization with Microsoft Purview Data Lifecycle Management."

"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."

"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."

"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."

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

"The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining 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."

"I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing."

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

More Quest Data Intelligence pros

Cons

"The initial setup took longer than we expected. Microsoft Purview Data Lifecycle Management is not a turn-it-on-and-go product."

"The time it takes to scan is one issue; when we raise high-volume issues and tickets related to scanning failures, it relates to permission errors, which are technical challenges."

"I think labeling could use a lot more AI assistance. AI implementation into labeling would be beneficial."

"Microsoft's Purview Data Lifecycle Management preview features can be unreliable, hindering their usefulness."

"There is no specific improvement I would suggest for Microsoft Purview Data Lifecycle Management, but I think if they can work on policy design and usability, adding more granular control for the organization regarding controlling the movement of data outside would definitely improve the solution."

"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."

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

"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."

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

"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."

"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version."

"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."

More Quest Data Intelligence cons

Pricing and Cost Advice

"The service operates on a pay-as-you-go basis, charging an extra one cent per field of metadata scanned in our data."

"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."

"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."

"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."

"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."

"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."

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

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

"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

Computer Software Company

12%

Government

11%

Financial Services Firm

10%

Comms Service Provider

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 Microsoft Purview Data Lifecycle Management?

Better coverage outside Microsoft 365 is a feature I wish Microsoft Purview Data Lifecycle Management had that it does not offer today. If I could change one thing about Microsoft Purview Data Life...

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What is your primary use case for Microsoft Purview Data Lifecycle Management?

Automating retention and deletion across our Microsoft 365 environment is my main use case for Microsoft Purview Data Lifecycle Management. At Microsoft scale, Exchange, SharePoint, OneDrive, and T...

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What advice do you have for others considering Microsoft Purview Data Lifecycle Management?

Microsoft Purview Data Lifecycle Management implementation is very much a team-wide effort. The policies apply organization-wide across all Microsoft 365 users. The management side, configuring pol...

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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.

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

Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Purview Data Lifecycle Management

Compared 7% of the time

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Compared 6% of the time

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Compared 6% of the time

OpenText Content Manager vs Microsoft Purview Data Lifecycle Management

Compared 6% of the time

M-Files vs Microsoft Purview Data Lifecycle Management

Compared 3% of the time

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Compared 20% of the time

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Compared 10% of the time

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

Compared 9% of the time

Microsoft Purview Data Governance vs Quest Data Intelligence

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SAS Data Management vs Quest Data Intelligence

Compared 3% of the time

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Product Reports

Buyer's Guide

Microsoft Purview Data Lifecycle Management

June 2026

Microsoft Purview Data Lifecycle Management report

Download Microsoft Purview Data Lifecycle Management product report

Buyer's Guide

Quest Data Intelligence

July 2026

Download Quest Data Intelligence product report

Also Known As

Microsoft Information Governance, Microsoft Purview Records Management

erwin DG, erwin Data Governance, erwin Data Catalog

Overview

Microsoft Purview Data Lifecycle Management helps businesses manage data effectively, enhancing compliance and control while optimizing data usage across the organization.

Designed for comprehensive data governance, Microsoft Purview Data Lifecycle Management aids businesses in automating data retention, labeling, and protection policies. It integrates seamlessly with existing systems, facilitating robust data management, which supports compliance and risk management efforts. Suitable for businesses seeking to consolidate data management processes, it ensures that valuable data is efficiently cataloged, accessible, and secured, contributing to informed decision-making and resource optimization.

What features should users be aware of?

Automated Data Retention: Simplifies data management by automatically applying retention policies.
Sensitivity Labeling: Offers robust capabilities to classify and protect sensitive information.
Data Insights: Provides analytical insights that help in monitoring compliance and data usage.
Policy Enforcement: Integrated tools for automating policy application across data assets.

What benefits can users expect from reviews?

Improved Compliance: Ensures adherence to regulations through automated policy enforcement.
Operational Efficiency: Streamlines data management tasks, reducing manual intervention and potential errors.
Cost Effectiveness: Reduces the need for multiple tools by consolidating data management activities.
Enhanced Security: Protects sensitive data through advanced labeling and encryption features.

In finance, Microsoft Purview Data Lifecycle Management facilitates compliance with strict regulations, in healthcare, it safeguards patient data while streamlining retention policies, and in retail, it organizes customer data for better insights and tailored marketing strategies, ensuring data is a strategic resource across sectors.

Microsoft

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

Microsoft Purview Data Lifecycle Management vs. Quest Data Intelligence

June 2026

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