Atlan is a context layer for enterprise AI. It continuously reads an organization's warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context…
The other tools were also solid, we ultimately ended up going with Atlan for these reasons: 1. It improved our compliance and risk management the best 2. Easy to adopt and good pricing 3. Seemed to have the most robust functionality -- especially in terms of integrations 4. …
Well suited if you're using a lot of tools that work in tandem with this such as Snowflake, Amazon, S3, Tableau, Power, BI, Redshift, and others. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, less suited for collaboration across teams. Not a ton of ways to do things in real-time together.