Atlan in Action⚡️

Context Bootstrapping: How Context Studio bootstraps rich context from your existing data estate (lineage, SQL history, BI semantics, glossary terms) so you can go from zero to a credible AI agent in days, not months.

Context Engineering: How built-in simulation and evaluation workflows give teams a repeatable north star for accuracy, replacing gut-feel spot checks with structured test sets and confidence scoring.

Context Portability: How bounded, portable Context Repositories let you govern context once and share it across agents and experiences like Snowflake Cortex and Databricks Genie.

How to build a data product end-to-end: set domain, sensitivity, and criticality then use rules-based filters to pull in the right assets automatically

Replace "go ask the data team": How output ports give consumers a direct path to the right table or dashboard, backed by a live product score that reflects real governance coverage

Domain reporting that goes beyond a spreadsheet: How to track product lifecycle status, enrichment coverage, and real usage data — so domain owners can show what's working and fix what isn't

See your full stack governed, not just GCP: Dataplex catalogs your GCP assets. Atlan extends that governance to dbt, Tableau, Snowflake, and 100+ connectors in one connected environment.

Trace any data quality issue in seconds: Column-level lineage from BigQuery through dbt to Tableau, in near real-time. No spreadsheet archaeology. No cross-team pings to find the root cause.

Context for agents. Not just queries: Dataplex metadata becomes the context layer for your AI agents. Your stack can answer questions, not just return results.

Fix the cold start problem: With no-code templates and AI suggested rules, engineers can spin up quality checks in minutes inside Snowflake or Databricks, without waiting for complex pipelines.

Leverage existing compute investments: Built on Snowflake and Databricks, Data Quality Studio allows you to run data quality checks directly in your cloud warehouse.

Eliminate fragmented data quality signals: Get a unified view of Atlan + partner data quality signals, making trends visible across the entire data and AI estate.