AWS's MPP data warehouse for high-performance analytics and OLAP workloads.
AWS-committed enterprises with complex analytical workloads, large-scale data warehousing, and teams experienced in data warehouse optimization.
Cloud-native data warehouse platform optimized for analytics and data sharing.
Enterprises requiring multi-cloud flexibility, data monetization through sharing, organizations with limited data warehouse expertise, and companies prioritizing operational simplicity over cost optimization.
Redshift is AWS's data warehouse tightly integrated with the AWS ecosystem and optimized for cost-efficient analytics at scale, while Snowflake is a cloud-agnostic platform emphasizing ease of use, data sharing, and multi-cloud flexibility. The choice depends on your existing infrastructure and operational priorities.
Redshift excels for AWS-committed organizations seeking cost efficiency and tight ecosystem integration with strong analytical performance. Snowflake leads for enterprises prioritizing multi-cloud flexibility, ease of administration, and innovative features like data sharing and zero-copy cloning. Your decision should align with your cloud strategy and operational maturity.
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AWS-committed enterprises with complex analytical workloads, large-scale data warehousing, and teams experienced in data warehouse optimization.
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| Metric | Redshift | Snowflake | Diff |
|---|---|---|---|
| Base Cost per TB (Monthly)(USD) | $2-4 | $4-6 | -40% |
| Available Cloud Providers(count) | AWS only | AWS, Azure, GCP | -67% |
| Average Query Response Time(seconds) | 2-5 seconds | 2-4 seconds |
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Choose Snowflake if
Enterprises requiring multi-cloud flexibility, data monetization through sharing, organizations with limited data warehouse expertise, and companies prioritizing operational simplicity over cost optimization.
| +17% |
| Time to Production (median)(weeks) | 4-8 weeks | 1-3 weeks | +200% |
| Market Share 2026(percent) | 28% | 32% | -13% |
| Starting Monthly Cost(USD) | $2,000-$5,000 | $2,000-$5,000 | — |
| Setup Time(minutes) | 1-3 days | 1-3 days | — |
| Query Performance (TPC-DS)(seconds) | 15-20 | 15-20 | — |
| ML/AI Integration Score(out of 10) | 4/10 | 4/10 | — |
| Global Enterprise Customers(count (2026)) | 10,000+ | 10,000+ | — |
| Supported Cloud Providers(number of platforms) | 3 (AWS, Azure, GCP) | 3 (AWS, Azure, GCP) | — |
| Setup Time to First Query(minutes) | 20-30 minutes | 20-30 minutes | — |
| Data Marketplace Size(number of datasets) | 1,000+ datasets | 1,000+ datasets | — |
| Annual Customer Growth Rate (2025)(percent) | 22% YoY | 22% YoY | — |
| Average Enterprise Contract Value(USD thousands per year) | $200-500 | $200-500 | — |
| Query Latency (1 billion rows)(seconds) | 30 seconds | 30 seconds | — |
| Monthly Cost (100 GB compressed)(USD) | $1,500 | $1,500 | — |
| Ingestion Throughput(events/sec) | 100,000 events/sec | 100,000 events/sec | — |
| Data Retention for Time-Travel(days) | 90 days | 90 days | — |
| Compression Ratio(ratio) | 4:1 to 8:1 | 4:1 to 8:1 | — |
| Learning Curve (1-10 scale)(difficulty rating) | 3/10 (very easy) | 3/10 (very easy) | — |
| Data Warehouse Query Speed (Typical)(seconds) | <5 seconds | <5 seconds | — |
All figures sourced from publicly available data. Last updated Jun 2026.
Redshift
AWS only
Snowflake
AWS, Azure, GCP (multi-cloud)🏆
Redshift
Cluster-based, shared storage
Snowflake
Compute-storage separation (true decoupling)🏆
Redshift
$2-4🏆
Snowflake
$4-6
Redshift
Limited (Redshift Data Sharing)
Snowflake
Native, seamless sharing across accounts🏆
Redshift
Steeper (SQL optimization required)
Snowflake
Gentler (auto-scaling, auto-optimization)🏆
Redshift
Excellent with tuning (2-5s avg)
Snowflake
Excellent with less tuning (2-4s avg)
Redshift
Native, deep integration🏆
Snowflake
Good but requires additional setup
Redshift
Not available
Snowflake
Available (instant, cost-free)🏆
Redshift offers lower base costs ($2-4/TB/month) compared to Snowflake ($4-6/TB/month), making it more cost-effective for large-scale, consistent workloads on AWS. However, Snowflake's transparent, per-second billing and elimination of tuning overhead can reduce hidden costs. Total cost depends on your usage patterns and optimization efforts.
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| Attribute | ||
|---|---|---|
| Base Cost per TB (Monthly)(USD) | $2-4 | $4-6 |
| Starting Monthly Cost(USD) | $2,000-$5,000 | — |
| Base Query Cost(USD per TB scanned) | $2-4 per credit | — |
| Average Enterprise Contract Value(USD thousands per year) | $200-500 | — |
| Monthly Cost (100 GB compressed)(USD) | $1,500 | — |
| Available Cloud Providers(count) | AWS only | AWS, Azure, GCP |
| Supported Cloud Providers(number of platforms) | 3 (AWS, Azure, GCP) | — |
| Average Query Response Time(seconds) | 2-5 seconds | 2-4 seconds |
| Query Performance (TPC-DS)(seconds) | 15-20 | — |
| Maximum Query Timeout(hours) | Limited by warehouse size | — |
| Concurrent User Support(scalability level) | Limited by warehouse size, manual tuning | — |
| Query Latency (1 billion rows)(seconds) | 30 seconds | — |
Show 2 more attributesIngestion Throughput(events/sec) 100,000 events/sec — Data Warehouse Query Speed (Typical)(seconds) <5 seconds — | ||
| Data Sharing Capability | Limited (Redshift Data Sharing) | Native, cross-account/cross-cloud |
| Zero-Copy Cloning | Not available | Available (instant, free) |
| Data Sharing Standard(technology) | Snowflake Marketplace (proprietary) | — |
| Data Retention for Time-Travel(days) | 90 days | — |
| Compute-Storage Decoupling | Partial (RA3 nodes) | Complete separation |
| Time to Production (median)(weeks) | 4-8 weeks | 1-3 weeks |
| Market Share 2026(percent) | 28% | 32% |
| Global Enterprise Customers(count (2026)) | 10,000+ | — |
| Setup Time(minutes) | 1-3 days | — |
| Setup Time(minutes) | 15 minutes | — |
| ML/AI Integration Score(out of 10) | 4/10 | — |
| Supported Data Formats(types) | Structured (Parquet, CSV, JSON) | — |
| Multi-Language Support(languages) | SQL primarily | — |
| Setup Time to First Query(minutes) | 20-30 minutes | — |
| Data Marketplace Size(number of datasets) | 1,000+ datasets | — |
| Annual Customer Growth Rate (2025)(percent) | 22% YoY | — |
| Compression Ratio(ratio) | 4:1 to 8:1 | — |
| Licensing Model | Consumption-based (compute + storage) | — |
| Learning Curve (1-10 scale)(difficulty rating) | 3/10 (very easy) | — |
Side-by-side comparison of numeric attributes