Redshift vs Snowflake
type: WebPage
description: Redshift offers lower costs for predictable, MPP workloads on AWS infrastructure, while Snowflake provides superior multi-cloud flexibility, ease of use, and better performance for ad-hoc queries with its unique architecture. Snowflake dominates in ease of deployment and cross-cloud capability, while Redshift wins on price for consistent, large-scale analytics.
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date published: 2026-07-09T19:40:44.196Z
date created: 2026-07-09T19:40:44.196Z
date modified: 2026-07-09T21:41:01.033Z
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caption: Redshift vs Snowflake — Side-by-side comparison on A Versus B

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Redshift vs Snowflake
type: Article
type: TechArticle
abstract: Redshift offers lower costs for predictable, MPP workloads on AWS infrastructure, while Snowflake provides superior multi-cloud flexibility, ease of use, and better performance for ad-hoc queries with its unique architecture. Snowflake dominates in ease of deployment and cross-cloud capability, while Redshift wins on price for consistent, large-scale analytics.
description: Redshift offers lower costs for predictable, MPP workloads on AWS infrastructure, while Snowflake provides superior multi-cloud flexibility, ease of use, and better performance for ad-hoc queries with its unique architecture. Snowflake dominates in ease of deployment and cross-cloud capability, while Redshift wins on price for consistent, large-scale analytics.
language: en-US
main entity of page: Redshift vs Snowflake
content reference time: 2026-07-09T21:41:01.033Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-09T19:40:44.196Z
date created: 2026-07-09T19:40:44.196Z
date modified: 2026-07-09T21:41:01.033Z
text: Choose Redshift if you have predictable, massive analytics workloads on AWS and need to minimize cost per query—it excels at batch processing and can save 30-40% versus Snowflake for consistent usage. Choose Snowflake if you need multi-cloud deployment, rapid time-to-value, high concurrency, or mixed workload patterns (batch + ad-hoc); it's ideal for enterprises seeking flexibility and reduced DevOps overhead despite higher costs.
genre: Software
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potential action: Compare Amazon Redshift vs Snowflake
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  object: Amazon Redshift
  object: Snowflake
about: Amazon Redshift
about: Snowflake
mentions: Architecture Model
mentions: Cloud Support
mentions: Estimated Annual Cost (1PB analysis)
mentions: Setup Time to Production
mentions: Ad-hoc Query Performance
mentions: Concurrent User Support
mentions: Data Sharing Native Feature
related link: https://www.aversusb.net/compare/redshift-vs-snowflake
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related link: https://www.aversusb.net/compare/snowflake-vs-azure
related link: https://www.aversusb.net/compare/druid-vs-redshift
related link: https://www.aversusb.net/compare/hadoop-vs-snowflake
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related link: https://www.aversusb.net/compare/pinot-vs-redshift
related link: https://www.aversusb.net/compare/snowflake-vs-dremio
citation: Amazon Redshift — Wikipedia
citation: Snowflake — Wikipedia
significant link: https://www.aversusb.net/entity/amazon-redshift
significant link: https://www.aversusb.net/alternatives/amazon-redshift
significant link: https://www.aversusb.net/entity/snowflake
significant link: https://www.aversusb.net/alternatives/snowflake
significant link: https://www.aversusb.net/api/answer/redshift-vs-snowflake))
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A Versus B
type: Organization

Amazon Redshift
type: SoftwareApplication
description: AWS-native MPP data warehouse optimized for large-scale batch analytics and predictable workloads.
alternate name: AR
language: en-US
subject of: Redshift vs Snowflake

Snowflake
type: Thing
description: Enterprise cloud data warehouse with native multi-cloud support and broad BI ecosystem integration.
language: en-US
image: ImageObject
  caption: Snowflake
subject of: Redshift vs Snowflake

Redshift vs Snowflake — Comparison Data
type: Dataset
description: Structured comparison data for Redshift vs Snowflake with 160 attributes.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
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distribution: AI Answer API (citation-ready)
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variable measured: Base Query Cost
variable measured: Supported Cloud Providers

Redshift vs Snowflake — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Redshift vs Snowflake.
has defined term: Performance
has defined term: Cost
has defined term: Operations
has defined term: Data Management
has defined term: Compatibility
has defined term: Resource Efficiency
has defined term: Scalability
has defined term: Data Pipeline
has defined term: Collaboration
has defined term: Licensing
has defined term: Infrastructure
has defined term: Storage Efficiency
has defined term: Throughput
has defined term: Ecosystem
has defined term: Community Adoption
has defined term: Pricing
has defined term: Scale
has defined term: Integration
has defined term: Deployment
has defined term: Architecture
has defined term: Reliability
has defined term: Operational
has defined term: Storage
has defined term: Operability
has defined term: Features
has defined term: Cost Structure
has defined term: User Experience
has defined term: Capabilities
has defined term: Market Position
has defined term: Flexibility
has defined term: Development
has defined term: Data Sharing
has defined term: Market
has defined term: Implementation
has defined term: Developer Experience
has defined term: Legal & Cost
has defined term: Usability
has defined term: Language Support
has defined term: Capability
has defined term: Adoption
has defined term: Operational Ease
has defined term: Ease of Use
has defined term: ML Operations
has defined term: Data Portability
has defined term: Integrations
has defined term: Data Ingestion
has defined term: Setup Speed
has defined term: Economics
has defined term: Community
has defined term: Data Types

Performance
type: DefinedTerm
term code: performance
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Data Management
type: DefinedTerm
term code: data-management
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Resource Efficiency
type: DefinedTerm
term code: resource-efficiency
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Data Pipeline
type: DefinedTerm
term code: data-pipeline
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Collaboration
type: DefinedTerm
term code: collaboration
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Licensing
type: DefinedTerm
term code: licensing
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Storage Efficiency
type: DefinedTerm
term code: storage-efficiency
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Throughput
type: DefinedTerm
term code: throughput
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Community Adoption
type: DefinedTerm
term code: community-adoption
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Scale
type: DefinedTerm
term code: scale
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Operational
type: DefinedTerm
term code: operational
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Storage
type: DefinedTerm
term code: storage
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Operability
type: DefinedTerm
term code: operability
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Cost Structure
type: DefinedTerm
term code: cost-structure
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Data Sharing
type: DefinedTerm
term code: data-sharing
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Market
type: DefinedTerm
term code: market
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Legal & Cost
type: DefinedTerm
term code: legal-&-cost
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Language Support
type: DefinedTerm
term code: language-support
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Capability
type: DefinedTerm
term code: capability
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Operational Ease
type: DefinedTerm
term code: operational-ease
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

ML Operations
type: DefinedTerm
term code: ml-operations
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Data Portability
type: DefinedTerm
term code: data-portability
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Data Ingestion
type: DefinedTerm
term code: data-ingestion
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Setup Speed
type: DefinedTerm
term code: setup-speed
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Economics
type: DefinedTerm
term code: economics
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

Data Types
type: DefinedTerm
term code: data-types
in defined term set: Redshift vs Snowflake — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T21:41:01.033Z
author: A Versus B
publisher: A Versus B
is part of: Redshift vs Snowflake
main entity: Which is cheaper: Redshift or Snowflake?
  type: Question
  accepted answer: Answer
    text: Redshift is 25-40% cheaper for predictable, sustained workloads. For 1PB annual throughput, expect $180K-$240K (Redshift) vs $280K-$360K (Snowflake). However, Snowflake's elastic scaling can save money on variable/bursty workloads by avoiding over-provisioning. Redshift requires upfront cluster investment; Snowflake pays as you scale.
    language: en-US
main entity: Can I use Snowflake if I'm committed to AWS only?
  type: Question
  accepted answer: Answer
    text: Yes, Snowflake runs on AWS and provides the same functionality. However, you lose the multi-cloud arbitrage advantage. If you're AWS-locked and have predictable workloads, Redshift is typically the better financial choice due to lower costs and tighter integration (VPC, IAM, S3).
    language: en-US
main entity: How long does it take to get each system production-ready?
  type: Question
  accepted answer: Answer
    text: Snowflake: 2-3 days (create account, load data, run queries). Redshift: 3-4 weeks (provision cluster, configure security, optimize schema, tune performance). Snowflake's self-tuning architecture eliminates manual tuning; Redshift requires data engineers to design sort keys, distribution keys, and manage compression.
    language: en-US
main entity: Which is better for real-time dashboards and ad-hoc queries?
  type: Question
  accepted answer: Answer
    text: Snowflake wins decisively. Its separated compute/storage with auto-scaling delivers sub-5-second responses. Redshift's pre-sized clusters introduce latency (2-4 minutes typical) and require scaling before handling ad-hoc surges. Snowflake handles 500-1000 concurrent users; Redshift handles 50-100 per cluster.
    language: en-US
main entity: What about data sharing between teams/companies?
  type: Question
  accepted answer: Answer
    text: Snowflake has native zero-copy data sharing built-in—accounts can share databases without copies. Redshift requires manual replication, snapshots, or data export. For multi-tenant or partner data ecosystems, Snowflake's sharing feature saves weeks of engineering and eliminates sync issues.
    language: en-US

Starting Monthly Cost
type: PropertyValue
value reference: Pricing

Setup Time
type: PropertyValue
value reference: User Experience

Query Performance (TPC-DS)
type: PropertyValue
value reference: Performance

ML/AI Integration Score
type: PropertyValue
value reference: Capabilities

Global Enterprise Customers
type: PropertyValue
value reference: Market Position

Supported Data Formats
type: PropertyValue
value reference: Flexibility

Data Sharing Standard
type: PropertyValue
value reference: Features

Multi-Language Support
type: PropertyValue
value reference: Development

Base Query Cost
type: PropertyValue
value reference: Pricing

Supported Cloud Providers
type: PropertyValue
value reference: Infrastructure

Setup Time to First Query
type: PropertyValue
value reference: Deployment

Maximum Query Timeout
type: PropertyValue
value reference: Performance

Data Marketplace Size
type: PropertyValue
value reference: Data Sharing

Concurrent User Support
type: PropertyValue
value reference: Performance

Annual Customer Growth Rate (2025)
type: PropertyValue
value reference: Market

Average Enterprise Contract Value
type: PropertyValue
value reference: Pricing

Base Cost per TB (Monthly)
type: PropertyValue
value reference: Pricing

Available Cloud Providers
type: PropertyValue
value reference: Infrastructure

Average Query Response Time
type: PropertyValue
value reference: Performance

Data Sharing Capability
type: PropertyValue
value reference: Features

Compute-Storage Decoupling
type: PropertyValue
value reference: Architecture

Zero-Copy Cloning
type: PropertyValue
value reference: Features

Time to Production (median)
type: PropertyValue
value reference: Implementation

Market Share 2026
type: PropertyValue
value reference: Market Position

Query Latency (1 billion rows)
type: PropertyValue
value reference: Performance

Monthly Cost (100 GB compressed)
type: PropertyValue
value reference: Pricing

Setup Time
type: PropertyValue
value reference: Developer Experience

Ingestion Throughput
type: PropertyValue
value reference: Performance

Data Retention for Time-Travel
type: PropertyValue
value reference: Features

Compression Ratio
type: PropertyValue
value reference: Storage

Licensing Model
type: PropertyValue
value reference: Legal & Cost

Learning Curve (1-10 scale)
type: PropertyValue
value reference: Usability

Data Warehouse Query Speed (Typical)
type: PropertyValue
value reference: Performance

Query Latency (1TB dataset)
type: PropertyValue
value reference: Performance

Deployment Time
type: PropertyValue
value reference: Performance

Annual Cost (100TB storage, 10 users)
type: PropertyValue
value reference: Cost

Maximum Scalability
type: PropertyValue
value reference: Performance

Supported Query Languages
type: PropertyValue
value reference: Language Support

Time to First Query (production)
type: PropertyValue
value reference: Implementation

Required Technical Expertise Level
type: PropertyValue
value reference: Operability

Real-time Analytics Capability
type: PropertyValue
value reference: Capability

Annual License Cost (100TB data)
type: PropertyValue
value reference: Pricing

Query Response Time (10TB scan)
type: PropertyValue
value reference: Performance

Data Format Support Count
type: PropertyValue
value reference: Features

Available Integrations
type: PropertyValue
value reference: Ecosystem

Deployment Options
type: PropertyValue
value reference: Infrastructure

Time to Production
type: PropertyValue
value reference: Deployment

Query Latency (Typical)
type: PropertyValue
value reference: Performance

Enterprise Customers (2025)
type: PropertyValue
value reference: Adoption

Base Setup Cost (Annual)
type: PropertyValue
value reference: Pricing

Time to Insight (Complex Query)
type: PropertyValue
value reference: Performance

Maximum Daily Data Volume
type: PropertyValue
value reference: Scalability

Operational Complexity (1-10 scale)
type: PropertyValue
value reference: Operational Ease

SQL Query Performance (1TB dataset)
type: PropertyValue
value reference: Performance

Base Monthly Cost (minimum)
type: PropertyValue
value reference: Pricing

Native ML/AI Capabilities
type: PropertyValue
value reference: Features

Data Format Support
type: PropertyValue
value reference: Features

Concurrent Users Support
type: PropertyValue
value reference: Scalability

Data Warehouse Setup Time
type: PropertyValue
value reference: Ease of Use

Global Market Share (2024)
type: PropertyValue
value reference: Market Position

ML Model Training Cost Efficiency
type: PropertyValue
value reference: ML Operations

Initial Setup Time
type: PropertyValue
value reference: User Experience

TPC-DS 100TB Query Performance
type: PropertyValue
value reference: Performance

Starting Monthly Cost (10GB active data)
type: PropertyValue
value reference: Pricing

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value reference: Performance

Native ML Framework Integration
type: PropertyValue
value reference: Capabilities

Data Format Lock-in Risk
type: PropertyValue
value reference: Data Portability

BI Tool Native Connectors
type: PropertyValue
value reference: Integrations

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value reference: Performance

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value reference: User Experience

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Ease of Use

Query Latency (P99 percentile)
type: PropertyValue
value reference: Performance

Maximum Ingestion Rate
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value reference: Data Ingestion

Storage Cost
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Concurrent Query Capacity
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SQL Compliance
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Time to First Query
type: PropertyValue
value reference: Setup Speed

Minimum Cluster Size
type: PropertyValue
value reference: Scalability

Query Performance (10TB TPC-DS benchmark)
type: PropertyValue
value reference: Performance

Annual Cost (100TB, 24/7 usage)
type: PropertyValue
value reference: Economics

Compute & Storage Coupling
type: PropertyValue
value reference: Architecture

SQL Query Support
type: PropertyValue
value reference: Capability

Data Recovery (Time Travel)
type: PropertyValue
value reference: Features

Required DevOps Team Size
type: PropertyValue
value reference: Operations

Community Size (GitHub Stars)
type: PropertyValue
value reference: Community

SQL Query Speed (relative benchmark)
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value reference: Performance

Minimum Setup Time
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value reference: Developer Experience

ML/AI Feature Maturity
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value reference: Capabilities

Base Compute Cost (per hour)
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value reference: Pricing

Enterprise Customer Adoption
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value reference: Market Position

Unstructured Data Support
type: PropertyValue
value reference: Data Types

Data Sharing Zero-Copy
type: PropertyValue
value reference: Collaboration

ETL/ELT Performance (1TB dataset)
type: PropertyValue
value reference: Performance

Minimum Annual Cost
type: PropertyValue
value reference: Pricing

Per-Query Compute Cost Model
type: PropertyValue
value reference: Pricing

Data Movement Required
type: PropertyValue
value reference: Architecture

Query Performance on Data Lakes
type: PropertyValue
value reference: Performance

Native BI Tool Connectors
type: PropertyValue
value reference: Integrations

Uptime SLA
type: PropertyValue
value reference: Reliability

Time-Travel Query Window
type: PropertyValue
value reference: Features

Data Lake S3/ADLS Support
type: PropertyValue
value reference: Architecture