Explores Apache Polaris, an open source Iceberg REST catalog enabling multi-engine interoperability for open lakehouse architectures.
Analysis of Apache Polaris in July 2026, covering its graduation, release updates, federation, governance, and adoption as an open lakehouse catalog.
Explores multi-engine catalog federation using Apache Polaris to sync metadata across Google Cloud, AWS, and Azure for open lakehouse governance.
Compares Unity AI Gateway and Apache Polaris for enterprise governance, focusing on gateway vs catalog control in lakehouse architectures.
Explains the four-layer architecture of an agentic lakehouse for reliable AI agent data access.
Explains Snowflake's bidirectional Iceberg writes via Horizon Catalog, powered by Apache Polaris, enabling external engines to write to Snowflake-managed Iceberg tables.
Guide to securing Apache Iceberg tables with row/column-level access control using Apache Polaris and query engine policies.
Explains designing an open catalog architecture for AI agents in an agentic lakehouse, covering Apache Polaris and Dremio's Open Catalog.
Apache Polaris is an open-source catalog service that unifies the Iceberg ecosystem by implementing the Iceberg REST API for vendor-neutral lakehouse metadata management.
A 2025 year-in-review of key Apache data projects: Iceberg, Polaris, Parquet, and Arrow, detailing their major updates and future roadmap.
Explores Apache Iceberg, Arrow, and Polaris—three key technologies powering modern, high-performance data lakehouse platforms.
