Lakehouse Features Overview

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Feature Matrix

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Supported Cloud Vendors

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Supported Schemas

• StreamNative Kafka Schema Registry
• Confluent Schema Registry

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Feature Guides

• Schema Evolution — How the lakehouse table evolves when the topic schema changes, including Dead Letter Table (DLT) behavior
• Variant Type — Handle semi-structured data with Iceberg / Delta Variant type
• Partition Key — Configure table partitioning with Iceberg transforms
• Upsert — Deduplication and primary key-based updates
• Persist Extra Metadata — Persist message-envelope metadata (offset, publish time, properties) as a __meta Variant column
• Persist Key — Persist the source message key as a __key column

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Next Steps

• Observability — Monitor lakehouse tables with metrics and Grafana dashboards