August 31, 2026

Cloudera Lakehouse Optimizer

Task prioritization feature support

You can define a priority level for maintenance tasks that are configured for a policy. Higher-priority tasks are scheduled before lower-priority tasks when multiple policies compete for cluster resources.

For more information, see Cloudera Lakehouse Optimizer features.

High availability feature support

Cloudera Lakehouse Optimizer supports high availability with multiple service instances, automatic leader election, and failover. At any time, one instance is the leader that accepts API requests and performs state-mutating operations. Standby instances take over automatically when the leader fails.

For more information, see High availability for Cloudera Lakehouse Optimizer.

Puffin statistics feature support

You can create a custom policy that computes NDV statistics for Iceberg table columns and writes them to a Puffin statistics file registered in the table metadata. Query engines that read Iceberg Puffin files use these estimates for cost-based optimization.

For more information, see Puffin statistics for Cloudera Lakehouse Optimizer.

Auditing feature support

Cloudera Lakehouse Optimizer provides an audit trail of user and system activities, including policy creation, editing, deletion, association, namespace operations, authentication events, and table maintenance actions.

For more information, see Auditing for Cloudera Lakehouse Optimizer.