Atlan vs erwin Data Intelligence comparison

Atlan and Quest Software are both solutions in the Data Governance category. Atlan is ranked #9 with an average rating of 8.7, while Quest Software is ranked #18 with an average rating of 7.0. Atlan holds a 2.2% 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 6 Atlan reviews

1,149 Views
1,149 Comparison Views

100% willing to recommend

erwin Data Intelligence

Read 18 erwin Data Intelligence reviews

3,040 Views
3,040 Comparison Views

100% willing to recommend

Atlan

erwin Data Intelligence

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Executive SummaryUpdated on Aug 19, 2025

Erwin Data Intelligence and Atlan compete in the data management and governance category. Both have strengths, but Erwin stands out with its automation capabilities, which significantly reduce time to market, offering users a robust solution for data governance.

Features: Erwin offers exceptional automation scripts that expedite development processes, comprehensive metadata management, and excellent data lineage capabilities. Atlan shines with user-friendly design, out-of-the-box connectors for seamless integration, and efficient data cataloging.

Room for Improvement: Erwin needs to address inconsistencies in its SDK and API, improve automation navigation, and expand AI functionality. Atlan could enhance its Playbook automation for legacy systems and improve data observability for effective alerting.

Ease of Deployment and Customer Service: Erwin excels in on-premises deployment with extensive installation support but can improve response times. Atlan benefits from strong cloud-based deployment and consistent SLA-compliant support, making customer interactions smooth.

Pricing and ROI: Erwin provides a range of modules at a cost-effective price, but additional features can increase costs. It offers substantial ROI through automation. Atlan's user-based pricing suits mid-sized firms, offering competitive rates and notable ROI via development time savings.

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

Buyer's Guide

Atlan vs. erwin Data Intelligence

July 2025

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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

9th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

erwin Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Governance category, the mindshare of Atlan is 2.2%, up from 1.3% compared to the previous year. The mindshare of erwin Data Intelligence is 1.9%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance

Featured Reviews

Leon Pereira

Senior Analytics Engineer at virginmediao2

Enhanced data management with intuitive data lineage and metadata visualization

Certain UI changes could make Atlan more user-friendly. While they have an Excel add-in for interaction with Atlan, it's in its early stages and could be improved. Additionally, data observability capabilities could be enhanced to provide more alerts on stale or outdated data via communication tools like Microsoft Teams, Slack, or email.

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Roy Pollack

Advisor Application Architect at CPS Energy

The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.

We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. 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.

Read full review

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 as a ten out of ten."

"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."

"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 a nine out of ten."

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

"The technical support services are good."

"Atlas is quite intuitive."

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

More Atlan pros

"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."

"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."

"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."

"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."

"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."

"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."

"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."

"The data mapping manager is the most valuable feature."

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."

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

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

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

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

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

"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

"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."

"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."

"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."

"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."

"The data quality assessment requires third-party components and a separate license."

"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."

"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 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."

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."

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

"The price is too high."

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

"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."

"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 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."

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

"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."

More erwin Data Intelligence pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

16%

Financial Services Firm

12%

Computer Software Company

Insurance Company

Computer Software Company

24%

Financial Services Firm

10%

Government

Non Profit

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Atlan?

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. Additi...

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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?

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

See all answers

What do you like most about erwin Data Intelligence by Quest?

The data mapping manager is the most valuable feature.

See all answers

What is your experience regarding pricing and costs for erwin Data Intelligence by Quest?

The price is reasonable, and a subscription is required.

See all answers

What needs improvement with erwin Data Intelligence by Quest?

The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...

See all answers

Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 47% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 18% of the time

Alation Data Catalog vs Atlan

Compared 13% of the time

Collibra Governance vs Atlan

Compared 8% of the time

Ataccama ONE Platform vs Atlan

Compared 6% of the time

More Atlan Competitors

Microsoft Purview Data Governance vs erwin Data Intelligence

Compared 33% of the time

Collibra Governance vs erwin Data Intelligence

Compared 24% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 10% of the time

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

Compared 10% of the time

Collibra Lineage vs erwin Data Intelligence

Compared 8% of the time

More erwin Data Intelligence Competitors

Product Reports

Buyer's Guide

Atlan

August 2025

Download Atlan product report

Buyer's Guide

erwin Data Intelligence

August 2025

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

July 2025

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