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Apache Polaris

As explained in Architecting an Apache Iceberg Lakehouse

Apache Polaris is an open-source catalog service for Apache Iceberg tables with governance and role-based access-control capabilities.

Apache Polaris is an open-source, REST-based catalog service for Apache Iceberg. It centralizes table metadata and coordinates secure access across engines such as Spark, Flink, Trino, and Snowflake, while remaining separate from data and metadata files stored in cloud object storage. section 7.4.4

Polaris combines several catalog responsibilities:

  • Supports internal catalogs, where Polaris manages table registration and updates, and external catalogs, where synchronized tables remain read-only. section 7.4.4
  • Applies layered RBAC through service principals, principal roles, and catalog roles with catalog-, namespace-, and table-level privileges. section 7.4.4
  • Uses temporary credential vending so query engines can access cloud storage without receiving permanent storage credentials. section 7.4.4
  • Provides a vendor-neutral coordination point for environments spanning on-premises and cloud storage, including S3, ADLS, and GCS. section 4.5.1 section 7.4.4

Central catalog for a hybrid bank

Hamerliva Bank selects Polaris as its central catalog because it supports the Iceberg REST Catalog specification, integrates with the bank’s identity provider, and provides one place to manage datasets across on-premises and cloud environments. Time travel and an atomic commit log strengthen traceability and reliability. section 4.5.1

Polaris improves interoperability and governance but remains an operational dependency: a damaged catalog entry can sever access to intact Iceberg data and metadata. Recovery requires restoring catalog functionality or registering the table against the correct metadata.json location; transactional guarantees improve consistency and rollback options. section 11.3.1

Figure 4.6 The Hamerliva Bank architectural proposal shows how the components relate to one another.

Use the architecture figure to trace Polaris’s position between storage, table metadata, processing engines, federation, and business-user consumption. section 4.5.1

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Defines deployment, catalog modes, RBAC, and credential vending, then stops short of detailed operational configuration.
Examples
Uses a hybrid bank architecture and contrasts Polaris-based catalogs with AWS Glue for a cloud-native startup.
What you can do after
Operate/configure a centralized Iceberg catalog with engine interoperability, delegated permissions, and temporary storage credentials.
How it connects
Connects Apache Iceberg, REST Catalog, RBAC, credential vending, cloud object storage, and query engines.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.