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Microsoft Purview Data Lifecycle Management vs erwin Data Intelligence by Quest comparison

 

Comparison Buyer's Guide

Executive Summary

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

erwin Data Intelligence by ...
Ranking in Data Governance
9th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Microsoft Purview Data Life...
Ranking in Data Governance
25th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
2
Ranking in other categories
Microsoft Security Suite (32nd)
 

Mindshare comparison

As of April 2025, in the Data Governance category, the mindshare of erwin Data Intelligence by Quest is 2.1%, down from 2.5% compared to the previous year. The mindshare of Microsoft Purview Data Lifecycle Management is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Roy Pollack - PeerSpot reviewer
The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.
We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering.
Al Mcpherson - PeerSpot reviewer
Provides clear visibility into our entire information estate, reduces our time to action, and saves us time
The integration across Azure is straightforward. Microsoft Purview Data Lifecycle Management has been a game-changer for our data governance. We now have clear visibility into our entire information estate, allowing us to pinpoint data location and implement effective classification. Even though real-time compliance isn't a current need, Microsoft Purview Data Lifecycle Management offers that capability for future requirements. Purview Data Lifecycle Management has reduced our time to action – since we previously lacked such a tool, it's effectively cut our response time in half. Purview Data Lifecycle Management has saved us one working day per month.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"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."
"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."
"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."
"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."
"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."
"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 UI is the most valuable feature."
"The automatic data labeling is compelling, and we are investigating its use."
"Purview's built-in functionality provides immediate access to reports, streamlining the entire process."
 

Cons

"The data quality assessment requires third-party components and a separate license."
"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."
"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."
"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 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."
"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."
"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."
"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."
"Microsoft Purview Data Lifecycle Management can be challenging to implement due to its complexity and dense documentation, making it difficult to get started."
"Microsoft's Purview Data Lifecycle Management preview features can be unreliable, hindering their usefulness."
"Microsoft Purview Data Lifecycle Management can be challenging to implement due to its complexity and dense documentation, making it difficult to get started."
 

Pricing and Cost Advice

"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."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"The licensing cost is around $7,000 for user. This is an estimation."
"The price is too high."
"There is an additional fee for the server maintenance."
"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."
"The service operates on a pay-as-you-go basis, charging an extra one cent per field of metadata scanned in our data."
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Top Industries

By visitors reading reviews
Computer Software Company
22%
Financial Services Firm
13%
Government
9%
Non Profit
6%
Computer Software Company
13%
Manufacturing Company
12%
Financial Services Firm
12%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about erwin Data Intelligence by Quest?
The data mapping manager is the most valuable feature.
What needs improvement with erwin Data Intelligence by Quest?
The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...
What is your experience regarding pricing and costs for Microsoft Purview Data Lifecycle Management?
We opted for Purview Data Lifecycle Management due to its significant cost advantage over competitors. At a 95 percent price reduction, it was a clear winner. The service operates on a pay-as-you-g...
What needs improvement with Microsoft Purview Data Lifecycle Management?
Microsoft Purview Data Lifecycle Management can be challenging to implement due to its complexity and dense documentation, making it difficult to get started.
What is your primary use case for Microsoft Purview Data Lifecycle Management?
We use Microsoft Purview Data Lifecycle Management for labeling our data.
 

Also Known As

erwin DG, erwin Data Governance
Microsoft Information Governance
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Information Not Available
Find out what your peers are saying about Microsoft Purview Data Lifecycle Management vs. erwin Data Intelligence by Quest and other solutions. Updated: March 2025.
846,617 professionals have used our research since 2012.