Atlan Reviews

Name: Atlan
Brand: Atlan
Rating: 4.3 (6 reviews)

Vendor: Atlan

4.3 out of 5

6 reviews
100% willing to recommend

What is Atlan?

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.

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Atlan is the #10 ranked solution in Data Governance tools. PeerSpot users give Atlan an average rating of 8.6 out of 10. Atlan is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Atlan vs Informatica Intelligent Data Management Cloud (IDMC). Atlan is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 13% of all views.

Helped 831,071 peers since 2012

Featured reviews

Leon Pereira

Senior Analytics Engineer at virginmediao2

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 Additionally, data observability capabilities could be enhanced to provide more alerts on stale or outdated data via communication tools like Microsoft Teams, Slack, or email.

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Danrlei Alves

Senior Data Governance Analyst at Porto Seguro

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. And the product as a whole Atlan could invest in features like a data marketplace. It would be interesting to have access to data because it is a data catalog, but it could also be the main marketplace where users request access to data to be able to define, and that access should be given in a seamless manner. There is room for improvement on workflows as well, like the solution. It might not be the core of the solution, but they could start investing in having very robust workflows, especially for metadata data analysis. There is a simple workflow that could be improved.

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Tejbir Singh

Engagement Manager at Fractal

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. Its performance is not optimal when dealing with larger datasets, particularly legacy data assets, as the performance declines when scanning datasets running in terabytes.

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Atlan mindshare

As of January 2025, the mindshare of Atlan in the Data Governance category stands at 2.1%, up from 0.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Governance

PeerAnalyst reports

Type	Title	Date
Category	Data Governance	Jan 17, 2025	Download
Product	Reviews, tips, and advice from real users	Jan 17, 2025	Download
Comparison	Atlan vs Microsoft Purview Data Governance	Jan 17, 2025	Download
Comparison	Atlan vs Informatica Intelligent Data Management Cloud (IDMC)	Jan 17, 2025	Download
Comparison	Atlan vs Collibra Governance	Jan 17, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	N/A	93%	181 interviews Add to research
Microsoft Purview Data Governance	3.9	27.8%	83%	56 interviews Add to research

Valuable Features

Atlan's most valuable features include out-of-the-box connectors, an intuitive user interface, and end-to-end data lineage. Users highlight easy data integration from various sources and efficient cataloging of data sources. Automated lineage tracking and AI-enhanced metadata engagement are vital. Integration with platforms like Microsoft Teams and Slack simplifies metadata access, while ML capabilities aid in data classification. Data governance is strengthened through metadata management and assigning data owners, making Atlan comprehensive and user-friendly.

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

Room for Improvement

Atlan's Playbooks could be enhanced for better task handling. Users find improvements needed in workflows, governance capabilities, and metadata analysis. There's a desire for a data marketplace for easier data access. Better capabilities for identifying duplicate datasets, scheduled email reports, and data observability alerts are sought. Atlan could improve performance with large datasets and the UI for user-friendliness. Enhanced data lineage tracking is needed, especially for less-known applications utilized by organizations.

"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 of the main areas for improvement is its governance capabilities."
"Certain UI changes could make Atlan more user-friendly."

Pricing

Enterprises report Atlan offers a user-based pricing model, leading to cost-effectiveness for those with many assets but fewer users. Atlan's model contrasts with others charging per resource usage. Users find Atlan competitively priced against platforms like Collibra and Informatica, with discounts enhancing value. While cheaper than some traditional tools, it's costlier than next-gen solutions like Castor. Mid-sized organizations find its pricing suitable, although it lacks an integrated data quality module.

"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."

Popular Use Cases

Atlan's primary use case is serving as an enterprise data catalog and hub of knowledge, encompassing business and data expertise. Users employ it for cataloging data assets, managing data governance, data discovery, business glossary, metrics glossary, and data quality checks. It facilitates lineage tracking, impact analysis, root cause analysis, metadata capture, and self-service discovery by integrating with systems like SAP, Tableau, and Google BigQuery to create a unified data dictionary.

Service and Support

Atlan's customer service and support exhibit high availability and effective assistance with technical queries and issues. The team demonstrates satisfactory expertise. Although the ticketing system could be improved, prompt issue resolution is reported. During POC phases, dedicated account executives provide valuable support, although sometimes delayed responses occur. Some have not encountered issues necessitating support, while others experience prompt and helpful service.

Deployment

Users found Atlan's initial setup easy, leveraging cloud-based infrastructure on AWS without needing to set up anything physically. The process was straightforward, especially for the cloud instance, though on-premises required data engineering support. They appreciated the easy use of connectors for asset cataloging and noted that minimal training was needed for super users to facilitate adoption. Some encountered challenges with lineage aspects that needed attention.

Scalability

Atlan demonstrates scalable capabilities with its cloud-native design, handling up to 400 users, including data professionals. It may require input from their architectural team to enhance out-of-the-box scalability. Recent updates provide improvements, though some experience performance issues with large datasets. Atlan has positive feedback from user relationships, helping align scalability features with client needs. While integration is seamless for smaller datasets, issues arise with larger data volumes.

Stability

Atlan is generally stable with consistent availability and minimal problems. Users have managed to catalog over a million assets efficiently, with only minor issues in automated playbooks occasionally affecting scalability. While the UI is effective, handling large metadata volumes may require additional infrastructure support. Stability is confirmed by the timely resolution of performance issues from new features, and feedback on the ML classification system, initially inconsistent, is now positive following team optimizations.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Atlan Buyer's Guide for additional reliable information.