Atlan vs erwin Data Intelligence comparison

Atlan and Quest Software are both solutions in the Data Governance category. Atlan is ranked #11 with an average rating of 8.3, while Quest Software is ranked #16 with an average rating of 8.0. Atlan holds a 2.0% mindshare in DG, compared to Quest Software’s 1.9% 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 10 Atlan reviews

1,740 Views
1,688 Comparison Views

100% willing to recommend

erwin Data Intelligence

Read 20 erwin Data Intelligence reviews

2,830 Views
2,745 Comparison Views

100% willing to recommend

Atlan

erwin Data Intelligence

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Executive SummaryUpdated on Mar 1, 2026

Erwin Data Intelligence and Atlan both compete in the data intelligence and governance market. Erwin stands out for its strong automation and governance features, whereas Atlan excels with an intuitive design and user accessibility.

Features: Erwin Data Intelligence offers automation scripts for metadata management and seamless integration with data governance features. It provides detailed data traceability and data lineage capabilities. Atlan is renowned for its intuitive interface, robust metadata management, and easy connections with diverse data sources.

Room for Improvement: Erwin faces challenges with API and SDK reliability, particularly in deeper automation and integration. It needs better workflow integration and a more intuitive interface. Atlan could improve its governance capabilities, streamline workflows, and enhance support documentation.

Ease of Deployment and Customer Service: Both Erwin Data Intelligence and Atlan support on-premises, cloud, and hybrid deployments. Erwin's technical support is noted for its responsiveness but sometimes slow. Atlan has good support with consistent SLA adherence, while Erwin's structured support channels are more comprehensive.

Pricing and ROI: Erwin is cost-effective, especially with automation options. Pricing varies with features like Smart Data Connectors. Atlan's per-user model can be economical for certain enterprises. Erwin provides ROI through labor cost savings and efficiency, similar to Atlan's streamlined processes offering time savings.

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

Buyer's Guide

Atlan vs. erwin Data Intelligence

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

11th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

erwin Data Intelligence

Ranking in Data Governance

16th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

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 erwin Data Intelligence is 1.9%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Atlan	2.0%
erwin Data Intelligence	1.9%
Other	96.1%

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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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.

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

"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."

"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."

"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."

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

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

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

More Atlan pros

"The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes."

"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."

"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."

"The solution saves time in data discovery and understanding our entire organization's data."

"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 data mapping manager is the most valuable feature."

"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."

"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."

More erwin Data Intelligence pros

Cons

"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."

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

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

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

"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."

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

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

"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."

More Atlan cons

"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."

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

"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."

"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."

"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."

"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."

"The technical support could be improved."

More erwin Data Intelligence cons

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."

"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."

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

"There is an additional fee for the server maintenance."

"The licensing cost is around $7,000 for user. This is an estimation."

"The price is too high."

"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."

"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."

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

More erwin Data Intelligence pricing and cost advice

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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

14%

Government

10%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	15

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...

See all answers

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...

See all answers

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.

See all answers

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...

See all answers

Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 27% 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 9% of the time

Securiti vs Atlan

Compared 2% of the time

More Atlan Competitors

Collibra Platform vs erwin Data Intelligence

Compared 23% of the time

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 15% of the time

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

Compared 8% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 7% of the time

Microsoft Purview Information Protection vs erwin Data Intelligence

Compared 3% of the time

More erwin Data Intelligence Competitors

Product Reports

Buyer's Guide

Atlan

March 2026

Download Atlan product report

Buyer's Guide

erwin Data Intelligence

March 2026

Download erwin Data Intelligence product report

Also Known As

No data available

erwin DG, erwin Data Governance

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 Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Sample Customers

Information Not Available

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Buyer's Guide

Atlan vs. erwin Data Intelligence

March 2026

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