Microsoft Purview Data Lifecycle Management vs Quest Data Intelligence comparison

Microsoft Purview Data Lifecycle Management vs. Quest Data Intelligence

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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 (9th), Document Management Software (6th), Microsoft Security Suite (27th)

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 Microsoft Purview Data Lifecycle Management is 1.2%, up from 0.6% 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%
Microsoft Purview Data Lifecycle Management	1.2%
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.

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.

Read full review

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 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."

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

"The UI is the most valuable feature."

"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."

"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."

"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 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."

"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."

"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 solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."

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."

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

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

"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."

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

"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."

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

"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."

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

"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."

"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."

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."

"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."

"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."

"The price is too high."

"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."

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

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

"Erwin Data Catalog is very expensive."

More Quest Data Intelligence pricing and cost advice

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911,493 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

12%

Government

11%

Financial Services Firm

Comms Service Provider

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 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...

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...

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...

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...

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.

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...

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

Comparisons

Compared 6% of the time

OpenText Content Manager vs Microsoft Purview Data Lifecycle Management

Compared 6% of the time

Alfresco vs Microsoft Purview Data Lifecycle Management

Compared 5% of the time

Microsoft Purview Information Protection vs Microsoft Purview Data Lifecycle Management

Compared 5% of the time

Laserfiche vs Microsoft Purview Data Lifecycle Management

Compared 3% of the time

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Collibra Platform vs Quest Data Intelligence

Compared 18% of the time

Alation Data Catalog vs Quest Data Intelligence

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

SAS Data Management vs Quest Data Intelligence

Compared 2% of the time

More Quest Data Intelligence Competitors

Product Reports

Microsoft Purview Data Lifecycle Management

Download Microsoft Purview Data Lifecycle Management product report

Microsoft Purview Data Lifecycle Management report

Quest Data Intelligence

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

Microsoft Purview Data Lifecycle Management vs. Quest Data Intelligence