Atlan vs Information Builders Data Governance comparison

Atlan and Information Builders are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.3, while Information Builders is ranked #44. Atlan holds a 2.0% mindshare in DG, compared to Information Builders’s 0.6% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 100% of Information Builders users who would recommend it.

Atlan

Read 10 Atlan reviews

1,740 Views
1,688 Comparison Views

100% willing to recommend

Information Builders Data G...

Read 1 Information Builders Data Governance review

343 Views
343 Comparison Views

100% willing to recommend

Atlan

Information Builders Data G...

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Executive Summary

We performed a comparison between Atlan and Information Builders Data Governance based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance.

To learn more, read our detailed Data Governance Report (Updated: March 2026).

Buyer's Guide

Data Governance

March 2026

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Helped 885,376 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

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

Information Builders Data G...

Ranking in Data Governance

44th

Average Rating

7.0

Reviews Sentiment

8.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 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 Information Builders Data Governance is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Atlan	2.0%
Information Builders Data Governance	0.6%
Other	97.4%

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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Emmanuel Sikwane

Partner channel manager at Inactic

Balancing robust scalability with cloud features enhancements for streamlined operation

We're implementing this solution to assist our customer service in gaining a more comprehensive view of their environment. They currently manage over two hundred applications but lack a clear understanding of which ones are critical, especially concerning compliance in the insurance industry. By implementing it, we aim to alleviate the burden, identify redundant processes, and streamline their operations. It's about addressing these specific needs and optimizing their workflow. We're focusing on aligning the features with their requirements, and they are making significant progress on this journey, helping each of their companies move towards a centralized and efficient approach.

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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

"Atlas is quite intuitive."

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

"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 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."

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

"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

"It has an intuitive data quality engine that allows you to modify data, and apply rules to standardize it, and it's an excellent initial stage."

Cons

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

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

"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."

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

"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."

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

More Atlan cons

"The on-premise features are undeniably robust, but having equally powerful capabilities in the cloud would be a significant enhancement."

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."

Information not available

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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

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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

Dawiso vs Atlan

Compared 7% of the time

More Atlan Competitors

Collibra Platform vs Information Builders Data Governance

Compared 51% of the time

IBM Data Governance vs Information Builders Data Governance

Compared 25% of the time

Qlik Talend Cloud vs Information Builders Data Governance

Compared 24% of the time

More Information Builders Data Governance Competitors

Product Reports

Buyer's Guide

Atlan

March 2026

Download Atlan product report

Buyer's Guide

Data Governance

March 2026

Information Builders Data Governance report

Download Information Builders Data Governance 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

When a growing number of users interact with and visualize an increasing volume of data, solid governance practices can ensure that every stakeholder can get the insights they need, while the timeliness, integrity, availability, and security of data sources is fully preserved.

Omni-Gen delivers multi-domain enterprise data governance for business users through the Omni Governance Console. A domain is a data construct containing all the values that are relevant to that data type. Multi-domain data means more than one type of business entity is being governed. Built-in authorization for each domain ensures that each user has the capabilities that are right for their role and the software being licensed. Users can configure customizable workflows to provide automatic alerts when data quality problems require intervention.

Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: March 2026.

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We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.