Atlan vs erwin Data Catalog comparison

Atlan and Quest Software are both solutions in the Metadata Management category. Atlan is ranked #5 with an average rating of 8.1, while Quest Software is ranked #13. Atlan holds a 4.1% mindshare in MM, compared to Quest Software’s 3.3% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Atlan

Read 8 Atlan reviews

1,456 Views
524 Comparison Views

100% willing to recommend

erwin Data Catalog

Read 2 erwin Data Catalog reviews

612 Views
288 Comparison Views

100% willing to recommend

Atlan

erwin Data Catalog

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Executive Summary

We performed a comparison between Atlan and erwin Data Catalog based on real PeerSpot user reviews.

Find out in this report how the two Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Atlan vs. erwin Data Catalog Report (Updated: December 2025).

Buyer's Guide

Atlan vs. erwin Data Catalog

December 2025

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Helped 881,082 peers since 2012

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 Metadata Management

5th

Average Rating

8.2

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Data Governance (12th)

erwin Data Catalog

Ranking in Metadata Management

13th

Average Rating

7.6

Reviews Sentiment

5.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Metadata Management category, the mindshare of Atlan is 4.1%, up from 3.7% compared to the previous year. The mindshare of erwin Data Catalog is 3.3%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Metadata Management Market Share Distribution
Product	Market Share (%)
Atlan	4.1%
erwin Data Catalog	3.3%
Other	92.6%

Metadata Management

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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Andres-Martinez

BI Data Analytics Engineer at Targa Research

Helps with metadata management, saves time, and allows us to do impact analysis on any changes

There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names. There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen. That can also be improved. They need some caching and some parallel pipelines working on the backend in order to divide it into sections.

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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

"Overall, I rate Atlan a nine out of ten."

"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."

"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."

"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."

"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."

"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."

More Atlan pros

"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."

"The data catalog feature is pretty good."

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."

"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."

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

"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."

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

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

"One area that could be improved is the capability to find duplicates of datasets."

More Atlan cons

"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."

"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."

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."

"Erwin Data Catalog is very expensive."

"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."

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Top Industries

By visitors reading reviews

Manufacturing Company

15%

Financial Services Firm

10%

Computer Software Company

Insurance Company

Financial Services Firm

13%

Government

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	7

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.

See all answers

What needs improvement with Atlan?

Atlan can be improved by integrating agents that can support users in finding assets of interest.

See all answers

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...

See all answers

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

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Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 39% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 16% of the time

Alation Data Catalog vs Atlan

Compared 12% of the time

Collibra Platform vs Atlan

Compared 10% of the time

Ataccama ONE Platform vs Atlan

Compared 5% of the time

More Atlan Competitors

WhereScape RED vs erwin Data Catalog

Compared 26% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Catalog

Compared 20% of the time

SAP PowerDesigner vs erwin Data Catalog

Compared 13% of the time

Alation Data Catalog vs erwin Data Catalog

Compared 13% of the time

IBM InfoSphere Information Governance Catalog vs erwin Data Catalog

Compared 11% of the time

More erwin Data Catalog Competitors

Product Reports

Buyer's Guide

Atlan

January 2026

Download Atlan product report

Buyer's Guide

Metadata Management

January 2026

Download erwin Data Catalog 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

erwin Data Catalog empowers businesses to efficiently manage their data assets, providing a comprehensive overview and governance capabilities. It supports metadata management, enhancing data discovery and curation processes.

erwin Data Catalog offers robust data management tools that streamline data discovery, lineage, and governance. Designed for sophisticated data environments, it ensures efficient metadata control, providing users with an intuitive way to handle and leverage extensive data assets. Its features cater to enterprises looking to optimize data compliance and transformation strategies.

What are the main features of erwin Data Catalog?

Metadata Management: Facilitates efficient organization and retrieval of metadata across systems.
Data Lineage: Tracks data flow from source to destination, ensuring traceability and auditing.
Data Governance: Implements policies and standards to maintain data integrity and compliance.
Integration Capabilities: Seamlessly connects with diverse data sources and platforms.
Automated Curation: Speeds up data categorization and insight extraction with AI-driven processes.

What benefits can you expect from erwin Data Catalog?

Enhanced Decision Making: Provides comprehensive data insights for strategic planning.
Improved Compliance: Ensures adherence to industry standards and regulations.
Efficient Data Management: Simplifies complex data ecosystems, reducing time and resource expenditure.
Increased Collaboration: Offers shared insights and collaborative tools for teams.

erwin Data Catalog is successfully implemented in industries such as finance, healthcare, and retail, enabling these sectors to leverage vast data volumes effectively. It enhances operational efficiency by streamlining data management practices, ensuring compliance, and supporting critical data-driven decision-making processes.

Quest Software

Sample Customers

Information Not Available

Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics

Buyer's Guide

Atlan vs. erwin Data Catalog

December 2025

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