Atlan Lakehouse
Changes to Atlan Lakehouse—namespaces, schema and API behavior, query engine integrations, and setup requirements.
Lakehouse Solutions repository published
The Lakehouse Solutions public repository contains production-ready scripts and tools for extending Lakehouse—including Databricks and BigQuery setup scripts and table maintenance utilities. Use these as starting points for platforms that don't yet support federated Iceberg REST catalogs natively.
Amazon Athena integration available
Connect Amazon Athena to Lakehouse using AWS Glue Catalog Federation. Lakehouse tables are exposed through the AWS Glue Data Catalog, making them queryable from any Athena-compatible engine without additional infrastructure.
entity_metadata tables are per-asset-type
Each asset type has its own table in the entity_metadata namespace. Querying a table for an asset type with no assets returns zero rows—this is expected behavior, not an error.
Snowflake setup: specific privileges required
ACCOUNTADMIN isn't the only valid role. The specific privileges required are CREATE INTEGRATION and CREATE DATABASE. Grant commands for custom roles are now documented, along with a troubleshooting note for the OAuthTokenResponse error.
Snowflake on GCP: table initialization fix documented
Snowflake users on GCP-hosted tenants hitting a SQL compilation error when querying Lakehouse Iceberg tables stored on GCS can now follow a step-by-step guide to configure the required GCS external volume and Polaris catalog integration.
usage_analytics namespace available
Lakehouse now exposes product telemetry from the Atlan UI in a new namespace—including page views, user actions, and identity snapshots. Query active users, measure feature adoption, identify dormant groups, and join usage data with organizational data using standard SQL.
Lakehouse available on App Marketplace
Atlan Lakehouse is now activatable directly from the App Marketplace as an Apache Iceberg-based data lakehouse. Query Atlan metadata—technical, business, governance, and operational signals—through any Iceberg REST-compatible engine (Snowflake, Databricks, Athena) without custom export pipelines.