Atlan vs SAS Data Management comparison

Why PeerSpot?

Atlan and SAS are both solutions in the Data Governance category. Atlan is ranked #13 with an average rating of 8.3, while SAS is ranked #22 with an average rating of 10.0. Atlan holds a 1.9% mindshare in DG, compared to SAS’s 1.7% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Atlan

Read 10 Atlan reviews

3,526 Views
3,350 Comparison Views

100% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

6,163 Views
2,157 Comparison Views

88% willing to recommend

Atlan

SAS Data Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 3, 2024

SAS Data Management and Atlan compete in the data management and collaboration space. Atlan seems to have the upper hand due to its modern approach and flexibility, particularly for organizations valuing collaboration and ease of use.

Features: SAS Data Management provides strong data integration, quality control, and governance, making it suitable for large enterprises needing extensive data handling. Atlan emphasizes data collaboration, discovery, and a smooth workflow experience, appealing to teams seeking modern and user-friendly tools. Atlan's flexibility and collaborative features give it an edge.

Ease of Deployment and Customer Service: SAS Data Management involves traditional deployment processes requiring specialized skills, potentially slowing down setup. Its customer service aligns well with enterprise needs. Atlan offers quicker deployment through cloud-based solutions, focusing its support on agility and responsiveness, catering to businesses prioritizing fast adaptation.

Pricing and ROI: SAS Data Management's setup costs are significant due to its comprehensive features, yet it provides strong ROI for complex data environments. Atlan offers a more affordable and scalable subscription-based pricing model, ensuring effective ROI for teams focused on collaboration and data accessibility. Atlan's cost-effectiveness and modern appeal often make it the preferred choice for rapid implementation and collaborative efficiency.

To learn more, read our detailed Atlan vs. SAS Data Management Report (Updated: September 2026).

Buyer's Guide

Atlan vs. SAS Data Management

September 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

13th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (5th)

SAS Data Management

Ranking in Data Governance

22nd

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (26th), Data Quality (8th)

Mindshare comparison

As of October 2026, in the Data Governance category, the mindshare of Atlan is 1.9%, down from 2.2% compared to the previous year. The mindshare of SAS Data Management is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Atlan	1.9%
SAS Data Management	1.7%
Other	96.4%

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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Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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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."

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

"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."

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

"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."

"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

"The technical support is excellent."

"National Quality Knoledge Base Matching features QPI (Quality Performance Indicator) analysis approach"

"For the warehouse and BI environment, SAS is very quick, very intuitive, very, very powerful, and very valuable."

"The product offers very good flexibility."

"The monitoring capabilities are very good."

"I find the solution to be very stable."

"DataFlux in my opinion is an excellent high end solution for enterprise wide data management."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

More SAS Data Management pros

Cons

"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. 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."

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

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

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

"Atlan can be improved by integrating agents that can support users in finding assets of interest."

"Customer support for Atlan is not so proactive."

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

More Atlan cons

"For the amount of features that we use, the licensing is expensive."

"Complex, as usual with SAS"

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"The stability could be a bit better. It's lacking in this area right now."

"Costly. Not great for non-ETL use cases."

"I would like the tool to include the ability to automate the modifications of the integrations."

"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."

"Integration and cloud migration are areas where we see potential for improvement."

More SAS Data Management 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 solution is expensive."

"The tool is a bit expensive."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The licensing model for vCenter is a perpetual license with yearly payments."

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Top Industries

By visitors reading reviews

Manufacturing Company

19%

Financial Services Firm

Insurance Company

Energy/Utilities Company

Outsourcing Company

13%

Financial Services Firm

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

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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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

See all answers

What needs improvement with SAS Data Management?

SAS Data Management can be improved in terms of the learning curve.

See all answers

What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

See all answers

Comparisons

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Compared 14% of the time

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Compared 13% of the time

Collibra Platform vs Atlan

Compared 12% of the time

Dawiso vs Atlan

Compared 8% of the time

illumex vs Atlan

Compared 8% of the time

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Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 7% of the time

WhereScape RED vs SAS Data Management

Compared 6% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

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Product Reports

Buyer's Guide

Atlan

October 2026

Download Atlan product report

Buyer's Guide

SAS Data Management

September 2026

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

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

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Sample Customers

Information Not Available

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Atlan vs. SAS Data Management

September 2026

Free Report: Atlan vs. SAS Data Management

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