Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**Redshift**: AWS-native, tightly coupled storage/compute, cluster-based; Spectrum for S3 queries; Concurrency Scaling for read bursts. **Snowflake**: Cloud-agnostic, decoupled storage/compute, per-second billing; zero-copy clone, Time Travel, Data Sharing. **Why Redshift**:...
Redshift: AWS-native, tightly coupled storage/compute, cluster-based; Spectrum for S3 queries; Concurrency Scaling for read bursts. Snowflake: Cloud-agnostic, decoupled storage/compute, per-second billing; zero-copy clone, Time Travel, Data Sharing. Why Redshift: Lower TCO for 24/7 steady workloads; deep AWS integration (Glue, Lambda); reserved instances cut cost 40%. Why Snowflake: Variable/spiky workloads; multi-cloud; DevProd parity via clones; sharing for data marketplace. Trade-offs: Redshift requires capacity planning; Snowflake auto-suspend can add cold-start latency. In practice: Redshift for batch ETL and scheduled reports; Snowflake for ad-hoc, multi-tenant, and bursty dashboards.
Red Flag: Recommending one without workload analysis. Pro-Move: 'We ran a 30-day POC: Redshift was 35% cheaper for our steady 8am–6pm workload; Snowflake won when we added 3am batch spikes—per-second billing saved 40%.'
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