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 #18 with an average rating of 8.0. Microsoft holds a 1.3% mindshare in DG, compared to Quest Software’s 2.4% 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

3,453 Views
1,139 Comparison Views

100% willing to recommend

Quest Data Intelligence

Read 22 Quest Data Intelligence reviews

4,935 Views
3,849 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

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 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 2.4%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	2.4%
Microsoft Purview Data Lifecycle Management	1.3%
Other	96.3%

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

"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."

"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."

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

"The client is thrilled with higher quality, lower-cost products, and the services."

"If I use a traditional ETL tool and build it through an IT port, it would take five days to build very simple data mapping to get it to the deployment phase, whereas using this solution, the IT cost will be cut down to less than a day."

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

"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."

"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."

"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 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."

"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

"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."

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

"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."

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

"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."

"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."

"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."

"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."

"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."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive."

"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."

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."

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

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

"Erwin Data Catalog is very expensive."

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

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

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

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Compared 6% of the time

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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

Compared 7% of the time

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

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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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