AtScale Adaptive Analytics (A3) vs Atlan comparison

Atlan and AtScale are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.3, while AtScale is ranked #45. Atlan holds a 2.0% mindshare in DG, compared to AtScale’s 0.5% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution.

Atlan

Read 10 Atlan reviews

2,229 Views
2,162 Comparison Views

100% willing to recommend

AtScale Adaptive Analytics ...

Read 1 AtScale Adaptive Analytics (A3) review

1,644 Views
411 Comparison Views

0% willing to recommend

Atlan

AtScale Adaptive Analytics ...

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Executive Summary

We performed a comparison between AtScale Adaptive Analytics (A3) and Atlan 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: April 2026).

Buyer's Guide

Data Governance

April 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

12th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

AtScale Adaptive Analytics ...

Ranking in Data Governance

45th

Average Rating

5.0

Number of Reviews

Ranking in other categories

Data Virtualization (7th), BI (Business Intelligence) Tools (50th), BI on Hadoop (1st)

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.8% compared to the previous year. The mindshare of AtScale Adaptive Analytics (A3) is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Atlan	2.0%
AtScale Adaptive Analytics (A3)	0.5%
Other	97.5%

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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it_user822762

Senior BI and Reporting Analyst at a financial services firm with 10,001+ employees

The GUI interface is nice and easy to use, but the organization of the icons is not saved across users

Connecting to a Hadoop database to create a cube to connect to Tableau. We want to be able to easily create cubes which can be connected to Tableau for visualization The product had many issues. We had great collaboration with the product development team, but the product was not able to meet our…

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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

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

"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."

"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."

"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."

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

"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."

"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."

More Atlan pros

"The GUI interface is nice and easy to use."

Cons

"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."

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

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

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

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

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

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

More Atlan cons

"The organization of the icons is not saved across users."

"The product was not able to meet our 10 second refresh requirements."

"There was an issue with the incremental aggregation not working as indicated."

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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Top Industries

By visitors reading reviews

Manufacturing Company

17%

Financial Services Firm

11%

Insurance Company

Computer Software Company

Healthcare Company

13%

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

10%

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 22% of the time

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Compared 12% of the time

Collibra Platform vs Atlan

Compared 12% of the time

Alation Data Catalog vs Atlan

Compared 11% of the time

erwin Data Intelligence vs Atlan

Compared 4% of the time

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SAP BusinessObjects Business Intelligence vs AtScale Adaptive Analytics (A3)

Compared 12% of the time

Collibra Platform vs AtScale Adaptive Analytics (A3)

Compared 12% of the time

Kyvos vs AtScale Adaptive Analytics (A3)

Compared 9% of the time

Dremio vs AtScale Adaptive Analytics (A3)

Compared 9% of the time

ThoughtSpot vs AtScale Adaptive Analytics (A3)

Compared 6% of the time

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Product Reports

Buyer's Guide

Atlan

May 2026

Download Atlan product report

Buyer's Guide

BI (Business Intelligence) Tools

April 2026

Download AtScale Adaptive Analytics (A3) product report

Also Known As

No data available

AtScale, AtScale Intelligence Platform

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

AtScale Adaptive Analytics (A3) revolutionizes data analysis for businesses by delivering powerful insights and facilitating informed decision-making. Its unique architecture optimizes operational efficiency and enhances data-driven strategies.

AtScale Adaptive Analytics (A3) integrates seamlessly with existing data environments, providing a modern and flexible approach to analytics. It allows organizations to access data from multiple sources without duplicating or moving it, ensuring efficiency and reducing costs. Advanced analytics capabilities enable enterprises to generate insights at scale, delivering actionable intelligence quickly. Its robust security features protect sensitive information, ensuring compliance and trust.

What are the key features of AtScale Adaptive Analytics (A3)?

Seamless Data Integration: Connects with diverse data environments without relocation.
High-Performance Data Virtualization: Enables rapid access and transformation of data across platforms.
Advanced Analytical Functions: Offers scalable insights using sophisticated analytical methods.
Centralized Security and Governance: Protects data integrity and complies with industry standards.
Cloud Agility & Scalability: Adapts to cloud or on-premises systems to meet growing business demands.

What benefits should users look for in reviews?

Cost Efficiency: Reduces data duplication costs and lowers operational expenses.
Enhanced Decision Making: Quickly delivers actionable insights for strategic decisions.
Improved Security Compliance: Maintains data privacy and meets regulatory requirements.
Versatile Analytics Capabilities: Supports complex data queries and enhances analytical output.
Flexibility in Deployment: Offers adaptable solutions compatible with cloud and traditional infrastructures.

AtScale Adaptive Analytics (A3) is widely implemented across industries like finance, healthcare, and retail where large-scale, secure, and insightful data analysis is paramount. Financial institutions benefit from its ability to adapt to changing regulations while healthcare organizations leverage it for detailed patient data analysis. Retailers use AtScale Adaptive Analytics (A3) to understand consumer behavior, enhancing customer experiences and inventory management. Its adaptability allows industry-specific customization, ensuring tailored analytics solutions.

AtScale

Sample Customers

Information Not Available

Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson

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

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