Atlan vs Netwrix Data Classification comparison

Atlan and Netwrix are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.3, while Netwrix is ranked #30. Atlan holds a 2.0% mindshare in DG, compared to Netwrix’s 1.4% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 100% of Netwrix users who would recommend it.

Atlan

Read 10 Atlan reviews

1,740 Views
1,688 Comparison Views

100% willing to recommend

Netwrix Data Classification

Read 3 Netwrix Data Classification reviews

880 Views
880 Comparison Views

100% willing to recommend

Atlan

Netwrix Data Classification

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 3, 2024

Netwrix Data Classification and Atlan compete in the data management category. Atlan seems to have an edge due to its comprehensive features that many users find worth the cost.

Features: Netwrix Data Classification provides automated data discovery, risk assessment, and regulatory compliance. Atlan facilitates data collaboration with enriched data catalogs, lineage tracking, and data democratization capabilities. The choice between these tools often relies on prioritizing security compliance or collaborative analytics.

Ease of Deployment and Customer Service: Netwrix supports straightforward on-premises deployment that suits enterprises with existing infrastructure and offers comprehensive support for technical environments. Atlan is cloud-based, supporting flexibility and scalability, and offers proactive customer service that aids seamless integration. Atlan's model may benefit those needing quick adaptability and customer engagement.

Pricing and ROI: Netwrix has competitive upfront costs, potentially resulting in a substantial ROI for businesses focused on regulatory compliance. Atlan's setup may involve higher initial costs but delivers superior long-term value with its extensive features and scalability. Deciding depends on the preference for immediate cost savings or long-term data strategy enhancement.

To learn more, read our detailed Atlan vs. Netwrix Data Classification Report (Updated: March 2026).

Buyer's Guide

Atlan vs. Netwrix Data Classification

March 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

Atlan

Ranking in Data Governance

12th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

Netwrix Data Classification

Ranking in Data Governance

30th

Average Rating

10.0

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.7% compared to the previous year. The mindshare of Netwrix Data Classification is 1.4%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Atlan	2.0%
Netwrix Data Classification	1.4%
Other	96.6%

Data Governance

Featured Reviews

Peter Neumann

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.

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Gregory Falowo

Isms Manager & Information Systems Security at a financial services firm with 201-500 employees

Automated data labeling has reduced manual work and supports our privacy compliance needs

We would like to enforce labeling currently in place. If a document is classified as strictly confidential, we want to be able to apply a profile that can cause documents to expire or revoke access anywhere the document is. We need a security feature so that if we have classified a document as strictly confidential and given it to a third party, that document remains strictly confidential. There has to be a way to enforce it and prevent the document from being shared with any other person apart from the person it was sent to. We do not want AI in security products for now, as AI in security products tends to be risky. AI can improve reporting and detection, but it should not execute.

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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 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."

"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."

"By switching to Atlan, we have increased our productivity and saved a lot of business time."

"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."

"Atlas is quite intuitive."

"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 technical support services are good."

"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."

More Atlan pros

"Netwrix Data Classification Manager finds the data in a very efficient manner, and the efficacy of the solution is very good."

"It's highly flexible and scalable, offering customers the choice to match their needs and budget."

"There is a massive cost saving; it is easy to use, the reporting is clean, and it is simpler to use than the Microsoft DLP solution, Purview."

Cons

"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."

"The product could be improved by offering scheduled email reports for managed assets."

"In my experience, it might be less suited for collaboration across teams."

"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."

"Certain UI changes could make Atlan more user-friendly."

"Customer support for Atlan is not so proactive."

"The challenge is in the lineage, where it requires improvement."

More Atlan cons

"We would like to enforce labeling currently in place. If a document is classified as strictly confidential, we want to be able to apply a profile that can cause documents to expire or revoke access anywhere the document is."

"One of the key issues is its interface and querying capabilities, which can be complex, making it difficult to interpret logs."

"Netwrix Data Classification Manager is very good at network data classification, but it also has to work on endpoint data classification because clients ask for it."

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 initial pricing might seem reasonable, but costs can quickly escalate when adding components."

"Netwrix Data Classification Manager has an affordable price."

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Top Industries

By visitors reading reviews

Manufacturing Company

17%

Financial Services Firm

11%

Computer Software Company

Insurance Company

Financial Services Firm

17%

Construction Company

10%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	9

No data available

Questions from the Community

What is your experience regarding pricing and costs for Atlan?

My experience with pricing, setup cost, and licensing is that the licensing cost is a bit flexible but not affordable for smaller organizations. It might be way out of their budget, but it is very ...

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What needs improvement with Atlan?

Atlan can be improved by enhancing their support process by reducing the resolution time. They have really bad and incomplete documentation, so they should work on the documentation as well, especi...

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What is your primary use case for Atlan?

My main use case for Atlan is to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tool. It al...

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Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 25% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 13% of the time

Alation Data Catalog vs Atlan

Compared 11% of the time

Collibra Platform vs Atlan

Compared 10% of the time

Varonis Platform vs Atlan

Compared 7% of the time

More Atlan Competitors

Microsoft Purview Data Governance vs Netwrix Data Classification

Compared 24% of the time

Varonis Platform vs Netwrix Data Classification

Compared 21% of the time

Microsoft Purview Information Protection vs Netwrix Data Classification

Compared 9% of the time

Veritas Data Insight vs Netwrix Data Classification

Compared 8% of the time

Cyera vs Netwrix Data Classification

Compared 6% of the time

More Netwrix Data Classification Competitors

Product Reports

Buyer's Guide

Atlan

March 2026

Download Atlan product report

Buyer's Guide

Data Governance

March 2026

Download Netwrix Data Classification product report

Overview

Atlan is a comprehensive data management platform designed to enhance data democratization, governance, and collaboration across departments in organizations. It offers a centralized data catalog, intuitive user interface, and robust governance framework to ensure data security and compliance. Users appreciate its efficiency in streamlining processes, promoting better communication, and providing insightful analytics, which drive organizational growth and success.

Atlan

Netwrix Data Classification automatically discovers and classifies sensitive and regulated data across file systems, Microsoft 365, SharePoint, Exchange, OneDrive, databases, and other cloud and on-premises environments. As a core component of Netwrix data security posture management (DSPM), it enables organizations to understand where sensitive data resides, who has access to it, and how it is exposed.

The solution uses advanced content analysis and customizable classification rules to identify personally identifiable information (PII), financial data, intellectual property, regulated records, and other sensitive content. Classification tags are written directly to files and metadata, enabling integration with data loss prevention solutions, access governance controls, and security monitoring tools.

Netwrix Data Classification also supports automated remediation workflows. Organizations can move sensitive files to secure locations, adjust access permissions, redact sensitive content, apply labels, and identify redundant, obsolete, and trivial (ROT) data for cleanup. By combining data discovery, effective permissions analysis, and automation, it helps reduce data exposure and strengthen compliance with regulations such as GDPR, HIPAA, and PCI DSS.

Key use cases

• Discover sensitive and regulated data across hybrid environments

• Identify overexposed data by analyzing effective permissions

• Remediate data risk with automated policy actions and workflows

• Identify and clean up redundant, obsolete, and trivial (ROT) data

• Protect intellectual property with content-based classification and tagging

• Support compliance with predefined classification rules aligned to regulatory standards

• Strengthen data loss prevention effectiveness with embedded classification tags

Netwrix

Buyer's Guide

Atlan vs. Netwrix Data Classification

March 2026

Free Report: Atlan vs. Netwrix Data Classification

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