Apache Polaris 1.3.0, released in January 2026, introduces significant enhancements for data engineers managing open lakehouse architectures. Key features include native metrics reporting for Iceberg datasets, which allows users to track query-level metrics such as rows scanned and bytes read. This change turns the catalog into an active source of operational signals instead of merely a passive metadata store. Teams can now access detailed insights into table usage, helping them diagnose performance issues and validate governance controls more effectively. Another major upgrade is the integration with Open Policy Agent (OPA) for authorization. This allows for more flexible and auditable access control by enabling the expression of complex rules that go beyond static roles. Teams can now define policies based on attributes, data classifications, or operational contexts, improving security across federated environments. Polaris also handles credential vending for external data access, issuing short-lived credentials instead of distributing long-term cloud credentials to individual engines. This centralizes and strengthens access control while reducing risks associated with credential management. Polaris 1.3.0 expands its capabilities beyond Iceberg to support generic tables, allowing the management of non-Iceberg formats such as Delta Lake and Hudi within a single catalog. This is particularly relevant for architects aiming to simplify their metadata systems. The release also includes improvements in observability and system health monitoring, aligning Polaris with industry standards for easier integration with monitoring tools. Overall, these changes enhance governance, visibility, and operational efficiency for teams dealing with complex data environments.