Atlan Reviews & Product Details

Atlan's data model flexibility stands out as the most valuable aspect of the product for our team. The ability to customize asset metadata and extend the data model to fit our organization's unique workflows — and then maintain that customization programmatically via their API — has made it a genuinely useful hub for our data stack, not just a static catalog. The UI is clean and intuitive enough that data scientists, analysts, and engineers can all find value in it without heavy onboarding. Review collected by and hosted on G2.com.

The catalog of available data connectors covers most of our data stack, but some of our BI tooling still isn’t supported. Also, in some cases the UI doesn’t reflect back-end changes quickly, so after certain operations the catalog can feel sluggish until changes fully sync and propagate. Review collected by and hosted on G2.com.

Atlan comes with great data discovery features and it ensures smooth data collaboration.

With the tool, finding, sharing and understanding data is always easy.

I like how easy Atlan makes it to maintain data quality and governance.

It comes with amazing machine learning features and amazing data AI features.

I like that Atlan supports modern data architecture. Review collected by and hosted on G2.com.

No flaws to report considering Atlan has met our needs more so in data governance and data quality. Review collected by and hosted on G2.com.

What I appreciate most about Atlan is how it transforms working with data into a truly collaborative and seamless experience. By bringing together people, data, and context in a single platform, it enables teams to genuinely understand and trust their data. I find it incredibly easy to locate what I need, document my work, and maintain organization without the usual confusion. Atlan is clearly designed to make data serve people, rather than forcing people to adapt to data. Its smooth integration with modern tools allows teams to work more efficiently, and it makes the entire data process feel more human, transparent, and enjoyable. Review collected by and hosted on G2.com.

One aspect I find challenging about Atlan is that it can sometimes feel overwhelming due to the sheer number of features and configuration options. For newcomers, the learning curve is quite steep before you can fully appreciate its value. There are also times when performance slows down, especially when handling very large datasets or complex integrations. Additionally, I would appreciate more flexibility in some customization options to better accommodate specific team workflows. However, these concerns are relatively minor compared to the overall experience—once you become familiar with the platform, Atlan proves to be both powerful and enjoyable to use. Review collected by and hosted on G2.com.

The product stands out for its ease of use, making it accessible even for those who are not very tech-savvy. Implementation was straightforward, and I appreciated how the features were both comprehensive and practical. Integration with other tools was smooth, which made the overall experience even better. Review collected by and hosted on G2.com.

The AI capabilities are limited, and the automation feels quite rigid. Additionally, it lacks features for managing tasks across multiple teams. Review collected by and hosted on G2.com.

We can catalog tables and reports, the lineage feature is best Review collected by and hosted on G2.com.

May be the support for the tool. The repsonse takes time Review collected by and hosted on G2.com.

It significantly enhances productivity, streamlines workflow, and makes implementation across the business remarkably easy, almost like magic! Review collected by and hosted on G2.com.

The customer support isn't particularly impressive, but it is still an improvement over what I've experienced with other competitors. Review collected by and hosted on G2.com.

- Standardized data contracts using YAML templates

- Compatibility with open source frameworks like Apache Spark, Airflow

- Great technical catalog for data engineers

- Lineage packages and libraries Review collected by and hosted on G2.com.

- Not user friendly for line of business users

- UI / UX was perceived to be too technical

- Great technical catalog but doesn't cover business governance requirements like CDEs Review collected by and hosted on G2.com.

Our experience with Atlan has been exceptionally positive, from initial exploration and technical evaluation to implementation and ongoing operational support. We included Atlan as part of our data infrastructure due to its intuitive user interface, robust product features, and forward-looking vision. Atlan's compatibility with the rest of our modern data stack (Snowflake, dbt, Sigma Computing) and other enterprise tools such as Slack, Google Workspace, and Chrome was a key factor, too. The Atlan team provided ample opportunity to carry out a Proof of Concept (POC) and Proof of Value (POV), which included live demonstrations of functionalities to the various data stakeholders. Additionally, Atlan's pricing and support model were both reasonable and adaptable.

Setting up the platform was swift, with a few hours of onboarding calls spread over a week. We could quickly run scans on our Snowflake instance and set up integrations with other platforms like dbt. Later, when support for Sigma Computing was introduced, we could integrate the same on our own. Features such as web search of metadata and detailed column-level lineage for root cause and impact analysis were an instant hit with our data power users.

The Atlan customer success team was meticulous in providing us with the necessary support to improve the adoption and engagement on the platform. They consistently strive to understand our specific use cases, deliverables, and business outcomes to provide optimal support. We appreciate how the Atlan team has supported us so far with active metadata management and helping improve the governance of our data and machine learning products. Review collected by and hosted on G2.com.

A strong product roadmap backs the vision, but the communication regarding the upcoming features and releases can be better. The concepts of Personas and Purpose overlap, and explaining them to most stakeholders is difficult. Review collected by and hosted on G2.com.

Its user friendly data catalog and it is very supportive and collaborative. Review collected by and hosted on G2.com.

Limited customization for UI components. Review collected by and hosted on G2.com.

The ability to apply definitions and tags for almost any data asset is useful, especially the feature to attach existing documentation as a resource. Great search feature, and ability to propagate tags downstream from objects. Review collected by and hosted on G2.com.

The UI is sometimes difficult to navigate, and there are some screens that may be more suitable to view as a table. There's also sometimes a steep learning curve to go from basic read-only use (or single asset management), to enabling mass-tagging/documentation efforts. Review collected by and hosted on G2.com.