Amazon Redshift vs Snowflake
On the evidence we track, Snowflake leads this comparison with a composite score of 66/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon Redshift
A cloud-based data warehouse available in provisioned and serverless deployment models, supporting SQL analytics across data warehouses and data lakes. Redshift integrates with SageMaker for AI workloads and connects to S3 and third-party data sources via zero-ETL integrations.
Snowflake
LeaderSnowflake is a fully managed cloud data warehouse that handles data ingestion, processing, analytics, and AI model deployment. It enables zero-copy data sharing across teams, clouds, and external organizations while maintaining built-in governance and security.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon Redshift
Provisioned from $0.543/hour on-demand or discounted reserved rates; Serverless from $1.50/hour per-second billing. Free $300 credit for 90 days on new Serverless accounts.
- Provisioned On-Demand$0.54/hr
- Flexible scaling
- Pause and resume
- Node type selection
- Elastic Resize
- Provisioned Reserved Instances-
- Significant discounts over on-demand
- Steady-state workloads
- Cost predictability
- Serverless$1.50 per hour
- Automatic capacity scaling
- No idle charges
- Seconds-based billing
- Automatic shutdown
- Serverless Reservations-
- Up to 45% savings on Serverless compute
- Cross-account sharing
- AWS payer account management
Snowflake
LeaderConsumption-based pricing by compute and storage usage; specific rates referenced in Snowflake Service Consumption Table
- Standard-
- Enterprise-
- Business Critical-
- Virtual Private SnowflakeContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Apache Iceberg
Amazon Redshift
- Amazon S3
- Amazon SageMaker
- Amazon Bedrock
- Apache Parquet
- Streaming services
- Operational databases
Snowflake
Leader- AWS
- Microsoft Azure
- Google Cloud Platform
- Streamlit
- PyTorch
- NVIDIA
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.