Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**Architectural Logic**: Native = Snowflake-managed storage; External = metadata in Snowflake, data elsewhere. **Native**: Full features (clustering, time travel); data in Snowflake storage. **External**: Data in S3/Azure/GCS; query via Snowflake compute; partition inference....
Architectural Logic: Native = Snowflake-managed storage; External = metadata in Snowflake, data elsewhere. Native: Full features (clustering, time travel); data in Snowflake storage. External: Data in S3/Azure/GCS; query via Snowflake compute; partition inference. Use Native: Curated, frequently queried data. Use External: Raw data; cost optimization; data stays in lake. Scalability: External avoids data movement; native has better query performance. Cost: External storage cheaper (object store); native has Snowflake markup. Best Practice: External for raw/landing; stage and load into native for production; external for infrequent access to large datasets.
Red Flag: Using external for high-query tables—poor performance. Pro-Move: External for landing/raw; native for curated; mention partition inference; cost vs performance trade-off.
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