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Lakehouse Storage support is available on both the Classic and Ursa engines within StreamNative Cloud. This capability enables seamless data offloading to lakehouse-compatible formats for long-term storage and analytics. The table below outlines the feature parity between the Classic and Ursa engines, highlighting the consistent experience across both runtime environments.

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Feature Parity - Lakehouse Storage Features Between Classic & Ursa Engines

FeaturesClassic EngineUrsa Engine
Message Protocol - PulsarYesNo
Message Protocol - KafkaYesYes
Data Format - Delta LakeYesYes
Data Format - IcebergYesYes
Data Format - HudiNoNo
Catalog - Unity CatalogYesYes
Catalog - Open CatalogYesYes
Catalog - S3TableNoYes
Catalog - BigQuery MetastoreNoYes
Schema support (Avro, Json, Protobuf, Primitive)AvroYes
Schema EvolutionNoNo
UI - Self service setupNoYes
Cloud - AWSYesYes
Cloud - GCPYesYes
Cloud - AzureNoYes
Mode - SBT (Stream back by Table)YesYes
Mode - SDT (Stream delivered to Table)YesYes
Offload performanceOKExcellent
Support Cluster modeBYOC & HostedBYOC (Automated)
Dedicated (Manual Setup)
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