Apache Polaris and Lakekeeper Catalog Operations

Polaris versus Lakekeeper is the wrong first question. The better question is which catalog operations your team is prepared to own.

The practical problem

Apache Polaris and Lakekeeper both sit in the open Iceberg catalog conversation. That makes comparisons inevitable. A useful comparison should not become a winner-take-all ranking.

The practical ODI comparison is operational: deployment model, authentication, authorization, credential behavior, metadata durability, engine compatibility, audit, migration path, and recovery. Those are the questions that decide whether an open catalog is production infrastructure.

The comparison that helps

Start with API compatibility. Both choices should be evaluated against the Iceberg REST catalog boundary and the engines the organization actually uses. A catalog that works only in the preferred demo path is not enough.

Then compare authorization and credential models. The important question is not whether the catalog has permissions. The question is whether those permissions map to the operations, identities, and audit evidence your platform requires.

Finally, compare operations. Backup, restore, deployment, monitoring, upgrade, configuration, and exit tests should be written down before the catalog becomes critical.

What breaks first

• The team chooses a catalog based on setup speed and later discovers missing recovery discipline.
• Authorization looks adequate in one engine and inconsistent in another.
• Audit records are not detailed enough for incident review.
• The exit path is assumed because the catalog is open source, but roles, namespaces, and operational state do not migrate cleanly.

Questions to ask

Use these questions instead of a generic feature matrix.

• Which engines and operations are certified in your environment?
• How does each catalog model identity, roles, credentials, and audit?
• What is the tested backup and restore process?
• How does each catalog handle upgrades and configuration drift?
• Can the team migrate to another REST-compatible catalog without losing control context?

For more comparison context, read Polaris vs Nessie vs Gravitino, Managed vs Self-Hosted Open Catalog, and Migrating to an Open REST Catalog.

Sources to start with

Read both projects through the same operational checklist. That is the only fair comparison.

• Apache Polaris documentation
• Apache Polaris GitHub repository
• Lakekeeper documentation
• Lakekeeper production guidance
• Apache Iceberg REST Catalog specification