Atlan vs Pentaho Data Catalog comparison

Atlan and Hitachi Vantara are both solutions in the Metadata Management category. Atlan is ranked #4 with an average rating of 8.3, while Hitachi Vantara is ranked #16. Atlan holds a 4.0% mindshare in MM, compared to Hitachi Vantara’s 1.6% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 100% of Hitachi Vantara users who would recommend it.

Atlan

Read 10 Atlan reviews

1,740 Views
609 Comparison Views

100% willing to recommend

Pentaho Data Catalog

Read 1 Pentaho Data Catalog review

265 Views
265 Comparison Views

100% willing to recommend

Atlan

Pentaho Data Catalog

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Executive Summary

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

Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management.

To learn more, read our detailed Metadata Management Report (Updated: March 2026).

Buyer's Guide

Metadata Management

March 2026

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Helped 885,667 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

4th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Data Governance (12th)

Pentaho Data Catalog

Ranking in Metadata Management

16th

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Metadata Management category, the mindshare of Atlan is 4.0%, up from 3.8% compared to the previous year. The mindshare of Pentaho Data Catalog is 1.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Metadata Management Mindshare Distribution
Product	Mindshare (%)
Atlan	4.0%
Pentaho Data Catalog	1.6%
Other	94.4%

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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Lisa Williams

Manager, Office of Enterprise Data Management at State of Arizona

Helps make metadata available from our transactional databases, data warehouse, document management system, and GIS

As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller. Now, what I'm having to do for the consultants is create an Excel spreadsheet that has the name of the tag and a description of it. I'm now creating a data silo. What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is.

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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 as a ten out of ten."

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

"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."

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

"The technical support services are good."

"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."

"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

"But overall, we spend a lot of time tagging data and working on data quality rules."

"The ability to easily and quickly ingest new data sources is the most valuable feature... I'm not an especially technical IT person, but my data governance lead and I are able to ingest the data, quickly profile it, and do data identification and tagging."

Cons

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

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

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

"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."

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

"Customer support for Atlan is not so proactive."

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

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

More Atlan cons

"We've tagged a lot of fields that are related to specific processes... What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is."

"As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller."

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."

"We can afford it. We got a three-year contract... If it were to go up and price a lot, I don't know if I would be able to keep it."

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Top Industries

By visitors reading reviews

Manufacturing Company

17%

Financial Services Firm

11%

Computer Software Company

Insurance Company

No data available

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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Collibra Platform vs Atlan

Compared 10% of the time

Dawiso vs Atlan

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Compared 39% of the time

IBM Watson Knowledge Catalog vs Pentaho Data Catalog

Compared 39% of the time

Collibra Platform vs Pentaho Data Catalog

Compared 23% of the time

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Product Reports

Buyer's Guide

Atlan

March 2026

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Buyer's Guide

Metadata Management

March 2026

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Also Known As

No data available

Hitachi Lumada DataOps - Data Catalog

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

Data intelligence delivered across all structured and unstructured data. A data culture fostered by trusted & actionable data with observability, lineage, quality and reliability.

Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: March 2026.

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