G2

Keith G.

Senior Data Analyst

Enterprise (> 1000 emp.)

7/14/2026

"Atlan as a Central Metadata Hub with Powerful Lineage and AI-Assisted Documentation"

4.5/5

What do you like best about Atlan?

Atlan has become much more than a catalog for us. It acts as a central metadata platform that helps connect technical assets, business context, ownership, and lineage in a way that is accessible to both engineers and business users.

The lineage capabilities provide valuable visibility into how data flows across our ecosystem, while the business context and stewardship features help improve trust in enterprise data. We have also seen significant value from Atlan's AI-assisted metadata capabilities, which helped accelerate documentation activities across a large number of assets.

Another differentiator has been the vendor partnership. The Atlan team has been highly engaged, responsive to feedback, and willing to collaborate on emerging use cases involving Snowflake, semantic models, and AI-driven data experiences Review collected by and hosted on G2.com.

What do you dislike about Atlan?

The platform is evolving quickly, which is generally positive, but to realize the full value of Atlan, you need well-defined stewardship processes, ownership models, and standards.

Some of the more advanced capabilities require organizational change management and process maturity to be successful. However, we found that these challenges were more related to governance adoption than limitations of the platform itself. Review collected by and hosted on G2.com.

What problems is Atlan solving and how is that benefiting you?

Atlan has helped us establish a trusted metadata foundation for our Snowflake environment by improving visibility into data assets, lineage, ownership, and business definitions.

The platform has supported our efforts to enable self-service discovery, improve onboarding, and prepare for AI-powered use cases. The goal is for teams to spend less time searching for information or relying on tribal knowledge and more time focusing on delivering business value.

It has also become an important component of initiatives involving Snowflake Intelligence, semantic modeling, data products, and AI-driven data experiences by ensuring that trusted metadata and context are available wherever users need it. Review collected by and hosted on G2.com.