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Atlan vs Microsoft Purview Data Lifecycle Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 30, 2025

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

Atlan
Ranking in Data Governance
12th
Average Rating
8.2
Reviews Sentiment
5.8
Number of Reviews
8
Ranking in other categories
Metadata Management (5th)
Microsoft Purview Data Life...
Ranking in Data Governance
26th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
4
Ranking in other categories
Email Archiving (9th), Document Management Software (2nd), Microsoft Security Suite (29th)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of Atlan is 2.1%, up from 1.7% compared to the previous year. The mindshare of Microsoft Purview Data Lifecycle Management is 1.0%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Atlan2.1%
Microsoft Purview Data Lifecycle Management1.0%
Other96.9%
Data Governance
 

Featured Reviews

Peter Neumann - PeerSpot reviewer
IT consultant at Pathfinder
Has struggled to meet business needs but supports technical data exploration and transparency
Atlan can be improved by concentrating more on business data since it is developed from developers for developers, and it needs to be more business relevant. For instance, when re-importing data model diagrams, Atlan provides some diagram automation that is not connected to the business glossary, which I consider a significant fault. Atlan needs to improve by focusing more on the business side of data, not only on technical aspects.If you want to focus on technical considerations, it would be beneficial to have an interface with a real business data modeling tool such as Erwin or other business data tools, since data modeling is not the same as Draw.io. Additionally, Atlan can improve its workflows, which are hard to understand. Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team. If business people want to use it and run their own reports, it must be easier to customize for their business needs.
RK
Cloud Security & Governance at a financial services firm with 10,001+ employees
A comprehensive data management solution shows potential for improvement while providing strong integration with existing infrastructure
One of the requirements is to have data leak policies and data access policies. This is very critical to enforce data governance standards, which relate to data classification, access control, data protection, and retention. It covers the entire lifecycle, helping us to protect, detect, and classify the documents. Challenges are mostly related to the security products onboarded into the bank; they have challenges in terms of those products complying with the internal standards. Sometimes, we cannot just use the DLP across the state. For example, using Microsoft products has been easy to adopt, such as OneDrive and SharePoint on-premise, but it becomes a challenge when it comes to AWS, as data also exists in S3 buckets. Testing is still ongoing, but it will eventually be done. 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. These take time because we have high volume tickets in terms of connectivity, scanning failures, and related matters. There are also frequent change requests, especially regarding scoping or rescoping due to complexities, creating several challenges. In both organizations I work with, there are gaps, and there is no enterprise-wide data classification available. However, there are pockets of implementations for various products. Some agencies are using it, but otherwise, there's no product existing across the enterprise. Microsoft Purview Data Lifecycle Management is definitely a good solution, but there is significant room for improvement from a product perspective. Reporting is another area that needs improvement.

Quotes from Members

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

Pros

"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."
"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."
"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."
"Overall, I rate Atlan as a ten out of ten."
"They also offer automated lineage embedded in the connectors, allowing us to track where the data is coming from and where it's going. We find it very efficient in cataloging data sources. Additionally, the user-friendly interface is a big plus, making it easy for users to familiarize themselves with the solution. These two features, in my opinion, stand out the most."
"Atlan has positively impacted the organization since it helps in discovering already available assets, allowing for reduction of redundant ingestion of external data and reduction of time to market for any project."
"The interfaces and automated imports have helped me with transparency, as we have different sources from different techniques such as DBT, Snowflake, and other regular databases, making it effective to connect these sources and navigate through them, filter them, and enrich the data with additional meter information."
"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."
"The UI is the most valuable feature."
"The system is stable; I haven't encountered any worldwide stability issues unlike other office products."
"The automatic data labeling is compelling, and we are investigating its use."
"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."
"Purview's built-in functionality provides immediate access to reports, streamlining the entire process."
 

Cons

"There are some improvements. There is a feature called Playbooks, which basically allows me to automate certain activities that would otherwise be manual. It's a very interesting feature, but there is room to improve it because, depending on the task you automate, the playbooks seem to have a hard time handling the task. So, it could be improved there. Even though it's a great feature, it can evolve further."
"One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets."
"One area that could be improved is the capability to find duplicates of datasets."
"Certain UI changes could make Atlan more user-friendly."
"Certain UI changes could make Atlan more user-friendly."
"One area that could be improved is the capability to find duplicates of datasets."
"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."
"The product could be improved by offering scheduled email reports for managed assets."
"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."
"Microsoft Purview Data Lifecycle Management can be challenging to implement due to its complexity and dense documentation, making it difficult to get started."
"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."
"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

"We pay per-user license. It's a different classification model than with other solutions, where they usually charge you for resources. So, that was a better model for us. And because of this difference in models or classification, it was cheaper for us to go with Atlan."
"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
Manufacturing Company
15%
Financial Services Firm
10%
Computer Software Company
9%
Insurance Company
8%
Computer Software Company
13%
Government
12%
Manufacturing Company
9%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise7
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Atlan?
Atlas is competitively priced compared to other data governance platforms like Collibra and Informatica. The only major drawback is its lack of an integrated data quality module.
What needs improvement with Atlan?
Atlan can be improved by integrating agents that can support users in finding assets of interest.
What is your primary use case for Atlan?
Atlan is used as a data catalog and a data governance tool. The primary idea for implementing Atlan for data cataloging in day-to-day work was to create a business data catalog to support asset dis...
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?
I think labeling could use a lot more AI assistance. AI implementation into labeling would be beneficial.
What is your primary use case for Microsoft Purview Data Lifecycle Management?
My major use case for Microsoft Purview Data Lifecycle Management is for the classification of data.
 

Also Known As

No data available
Microsoft Information Governance, Microsoft Purview Records Management
 

Overview

Find out what your peers are saying about Atlan vs. Microsoft Purview Data Lifecycle Management and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.