Atlan vs erwin Data Intelligence comparison

Atlan and Quest Software are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.1, 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 8 Atlan reviews

1,630 Views
1,597 Comparison Views

100% willing to recommend

erwin Data Intelligence

Read 19 erwin Data Intelligence reviews

2,813 Views
2,757 Comparison Views

100% willing to recommend

Atlan

erwin Data Intelligence

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Executive SummaryUpdated on Nov 23, 2025

Erwin Data Intelligence and Atlan compete in the data management category. Erwin appears to have an edge in automation capabilities while Atlan excels in ease of use and integration.

Features: Erwin offers powerful automation via scripts, a central data catalog supporting traceability, and robust lineage features for standardization. It ensures process integration and reduced time to market. Atlan boasts a user-friendly interface with out-of-the-box connectors, seamless integration enhancing data lineage, and features like ML-driven data classification.

Room for Improvement: Erwin's SDK and API need consistency enhancements in scripting. Its automation and user navigation could be more intuitive to ease the learning curve. Atlan could improve its workflows, report distribution, and governance features to handle larger datasets efficiently.

Ease of Deployment and Customer Service: Erwin provides versatile deployment options for on-premises and cloud environments alongside responsive support with technical expertise. Atlan, with a cloud focus, receives praise for quick support and a flexible helpdesk system.

Pricing and ROI: Erwin's model includes per-user and server fees, offering competitive cost efficiency attributed to its automation capabilities. Atlan's per-user model is cost-effective for mid-sized organizations, albeit pricier than newer competitors.

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

Buyer's Guide

Atlan vs. erwin Data Intelligence

February 2026

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Helped 881,707 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 Data Governance

12th

Average Rating

8.2

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

7.6

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Mindshare comparison

As of February 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.6% 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 Market Share Distribution
Product	Market Share (%)
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 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."

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

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

"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."

"Atlas is quite intuitive."

"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."

More Atlan 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."

"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."

"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."

"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."

"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."

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

"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."

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

More erwin Data Intelligence pros

Cons

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

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

"One of the main areas for improvement is its governance capabilities."

"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."

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

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

More Atlan cons

"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."

"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 SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."

"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."

"I find that the time taken to realize value from erwin Data Intelligence can be quite long."

"The technical support could be improved."

"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."

"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."

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."

"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."

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

"The solution is aggressively priced."

"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."

"The price is too high."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

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

More erwin Data Intelligence pricing and cost advice

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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

14%

Government

10%

Educational Organization

Manufacturing 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

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	14

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...

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What needs improvement with erwin Data Intelligence by Quest?

The dashboard in erwin Data Intelligence is customizable, and you can easily create different views. However, you are confined to the widgets that are already provided, so the customization is some...

See all answers

What is your primary use case for erwin Data Intelligence by Quest?

erwin Data Intelligence serves two primary use cases: one is where people use it as a data catalog, which is one of the main ones, and the other is for traceability and lineage.

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What advice do you have for others considering erwin Data Intelligence by Quest?

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Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 33% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 15% 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 25% of the time

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 19% of the time

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

Compared 10% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 10% of the time

More erwin Data Intelligence Competitors

Product Reports

Buyer's Guide

Atlan

February 2026

Download Atlan product report

Buyer's Guide

erwin Data Intelligence

February 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

February 2026

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