Apache Polaris

Polaris is an open-source, cloud-native catalog service designed to manage Apache Iceberg™ catalogs efficiently. Integrated with e6data, Polaris enables users to query structured and semi-structured data across cloud data lakes using a unified, secure interface. It supports schema evolution, nested namespaces, and metadata access through the Apache Iceberg REST protocol, making it a robust choice for large-scale, production-grade lakehouse environments.

Key Benefits:

  • Unified Metadata Access: Centrally view and query all registered Iceberg datasets, regardless of where they are stored (e.g., S3, Azure, or GCS).

  • Enterprise-Grade Security: Implements fine-grained role-based access control (RBAC) for secure and compliant data access.

  • Scalable Architecture: Designed to handle large-scale data catalogs, partitions, and workloads across enterprise-grade deployments.

  • Multi-Cloud Compatibility: Supports storage backends across AWS, Azure, and Google Cloud.

  • Interoperability with Compute Engines: Seamlessly integrates with engines like Apache Spark, Flink, Dremio, and Snowflake for read operations.

  • Support for Views: Along with tables, Polaris supports virtualized views to simplify querying and data abstraction.

  • Rich Namespace Support: Allows nested namespaces up to 16 levels deep for granular organization of data assets.

Use Cases:

  • Centralized cataloging of data across departments or business units

  • Managing logical namespaces for better data organization

  • Secure access to structured data across cloud platforms

  • Seamless integration with data processing and analytics engines.

What Is Supported:

  • Catalog and schema discovery

  • Multi-level namespaces

  • Role-based access mapping

  • Cloud-native compatibility (AWS, Azure, GCP)

  • Access to schema, table, column metadata, statistics, and partitions

Future Improvements:

  • Currently supports read-only operations

  • Only catalog-level access control is available

  • Fine-grained access (e.g., per-table or per-column) is planned for future releases

  • Validating catalogs with different principal roles

Sample Queries:

-- List all tables in a Polaris namespace
SHOW TABLES FROM polaris_catalog.sales.q3;

-- Query a table through Polaris catalog
SELECT customer_id, total_amount
FROM polaris_catalog.sales.q3.orders
WHERE total_amount > 1000;

Troubleshooting:

Issue
Resolution

Connection fails

Ensure Polaris URL and Client ID are correct

Tables or schemas missing

Verify role privileges and catalog configurations

Access errors (401/403)

Check with your Polaris admin to confirm access permissions

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