ClickHouse vs Amazon Redshift
type: Article
description: ClickHouse is a columnar OLAP database optimized for sub-second queries on massive datasets with lower operational costs, while Redshift is AWS's managed data warehouse solution offering seamless AWS integration and enterprise support at higher pricing. ClickHouse excels in analytical performance per dollar; Redshift wins for organizations already invested in AWS infrastructure.
language: en-US
date published: 2026-07-07T14:28:21.637Z
date created: 2026-07-07T14:28:21.637Z
date modified: 2026-07-07T14:28:21.720Z
content reference time: 2026-07-07T14:28:21.720Z
author: A Versus B
publisher: A Versus B
about: ClickHouse
about: Amazon Redshift
abstract: ClickHouse is a columnar OLAP database optimized for sub-second queries on massive datasets with lower operational costs, while Redshift is AWS's managed data warehouse solution offering seamless AWS integration and enterprise support at higher pricing. ClickHouse excels in analytical performance per dollar; Redshift wins for organizations already invested in AWS infrastructure.
text: Query Performance on 1B+ Row Datasets. Cost per TB/Month (On-Demand). Deployment Model. AWS Ecosystem Integration. Setup Time for Production Cluster. Compression Ratio Typical. Enterprise SLA & Support
conclusion text: Choose ClickHouse if you need maximum analytical query performance, operate at scale (100B+ rows), require cost-efficiency, and can manage infrastructure or use a specialized managed provider. Choose Redshift if you're already in the AWS ecosystem, need enterprise-grade SLAs, prefer turnkey deployment, and can justify the premium pricing for operational simplicity.
additional property: Query Latency (1 billion rows)
  type: PropertyValue
  value: ClickHouse: 1.2 seconds | Amazon Redshift: N/A
additional property: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value: ClickHouse: $150 | Amazon Redshift: N/A
additional property: Setup Time
  type: PropertyValue
  value: ClickHouse: 240 minutes | Amazon Redshift: N/A
additional property: Ingestion Throughput
  type: PropertyValue
  value: ClickHouse: 1,000,000 events/sec | Amazon Redshift: N/A
additional property: Data Retention for Time-Travel
  type: PropertyValue
  value: ClickHouse: Not native | Amazon Redshift: N/A
additional property: Compression Ratio
  type: PropertyValue
  value: ClickHouse: 8:1-12:1 | Amazon Redshift: N/A
additional property: Licensing Model
  type: PropertyValue
  value: ClickHouse: Open-source (free) + optional support | Amazon Redshift: N/A
additional property: Learning Curve (1-10 Scale)
  type: PropertyValue
  value: ClickHouse: 7/10 (moderate-hard) | Amazon Redshift: N/A
additional property: Query Latency (1GB aggregation)
  type: PropertyValue
  value: ClickHouse: 500-2000ms | Amazon Redshift: N/A
additional property: Compression Ratio (typical)
  type: PropertyValue
  value: ClickHouse: 10:1 to 40:1 | Amazon Redshift: N/A
additional property: Memory Required (minimal)
  type: PropertyValue
  value: ClickHouse: 500-2000MB | Amazon Redshift: N/A
additional property: Ingest Throughput
  type: PropertyValue
  value: ClickHouse: 1-5 million rows/sec | Amazon Redshift: N/A
additional property: Setup Time to First Query
  type: PropertyValue
  value: ClickHouse: 30-120 minutes | Amazon Redshift: N/A
additional property: SQL Standard Compliance
  type: PropertyValue
  value: ClickHouse: 70% ANSI SQL | Amazon Redshift: 95% (PostgreSQL-compatible)
  value reference: Amazon Redshift
additional property: Query Latency (p99)
  type: PropertyValue
  value: ClickHouse: 50-200ms (historical) | Amazon Redshift: 8000ms
  value reference: ClickHouse
additional property: Ingestion Latency (end-to-end)
  type: PropertyValue
  value: ClickHouse: 1000-10000ms | Amazon Redshift: N/A
additional property: Memory Usage per Query
  type: PropertyValue
  value: ClickHouse: 50-200MB | Amazon Redshift: N/A
additional property: Maximum Cluster Size
  type: PropertyValue
  value: ClickHouse: 1000+ | Amazon Redshift: Petabyte scale
  value reference: Amazon Redshift
additional property: Native SQL Support
  type: PropertyValue
  value: ClickHouse: Standard SQL with extensions | Amazon Redshift: N/A
additional property: Multi-tenancy Isolation
  type: PropertyValue
  value: ClickHouse: Limited/requires custom logic | Amazon Redshift: N/A
additional property: Typical Cost per TB/year
  type: PropertyValue
  value: ClickHouse: $800-1500 | Amazon Redshift: N/A
additional property: Ingestion Latency
  type: PropertyValue
  value: ClickHouse: 10-60 seconds | Amazon Redshift: N/A
additional property: Query Latency (100M rows)
  type: PropertyValue
  value: ClickHouse: 50-500ms | Amazon Redshift: N/A
additional property: Data Compression Ratio
  type: PropertyValue
  value: ClickHouse: 15:1 | Amazon Redshift: 7.5:1
  value reference: ClickHouse
additional property: Maximum Cluster Nodes
  type: PropertyValue
  value: ClickHouse: 1000+ nodes tested | Amazon Redshift: N/A
additional property: Streaming Integration
  type: PropertyValue
  value: ClickHouse: Limited (Kafka via TableEngine) | Amazon Redshift: N/A
additional property: Transaction Support
  type: PropertyValue
  value: ClickHouse: No ACID (eventual consistency) | Amazon Redshift: N/A
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: ClickHouse: 34,000+ | Amazon Redshift: N/A
additional property: Typical Maximum Dataset Size
  type: PropertyValue
  value: ClickHouse: ~1,000,000+ GB (1+ PB) | Amazon Redshift: N/A
additional property: Idle Memory Usage
  type: PropertyValue
  value: ClickHouse: 500-2000 MB | Amazon Redshift: N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: ClickHouse: 12+ formats (TSV, Native, Avro, Protobuf, etc.) | Amazon Redshift: N/A
additional property: Query Latency (100M rows, simple aggregation)
  type: PropertyValue
  value: ClickHouse: 500-1500ms | Amazon Redshift: N/A
additional property: Typical Storage Cost
  type: PropertyValue
  value: ClickHouse: $20-40 | Amazon Redshift: N/A
additional property: Max Recommended Dataset Size
  type: PropertyValue
  value: ClickHouse: 100TB+ efficiently | Amazon Redshift: N/A
additional property: SQL Feature Completeness
  type: PropertyValue
  value: ClickHouse: 95% (PostgreSQL-compatible) | Amazon Redshift: N/A
additional property: Time-Series Aggregation Support
  type: PropertyValue
  value: ClickHouse: Standard SQL; requires manual time bucketing | Amazon Redshift: N/A
additional property: Max Ingestion Throughput
  type: PropertyValue
  value: ClickHouse: 100,000-500,000 events/sec | Amazon Redshift: N/A
additional property: Storage Cost per TB/Month
  type: PropertyValue
  value: ClickHouse: $50-150 | Amazon Redshift: N/A
additional property: Typical Node Memory
  type: PropertyValue
  value: ClickHouse: 8-32GB | Amazon Redshift: N/A
additional property: Minimum Recommended Cluster Size
  type: PropertyValue
  value: ClickHouse: 3-5 nodes | Amazon Redshift: N/A
additional property: Max Dataset Size (Practical)
  type: PropertyValue
  value: ClickHouse: 1000TB+ (unlimited with tiering) | Amazon Redshift: N/A
additional property: Query Latency (1B row scan, 10 column aggregate)
  type: PropertyValue
  value: ClickHouse: 50-100ms | Amazon Redshift: 500-2000ms
  value reference: ClickHouse
additional property: Storage Cost (per TB/month)
  type: PropertyValue
  value: ClickHouse: $15-25 | Amazon Redshift: Included in node cost
  value reference: Amazon Redshift
additional property: Typical Data Compression Ratio
  type: PropertyValue
  value: ClickHouse: 10-40x | Amazon Redshift: 4-8x
  value reference: ClickHouse
additional property: Minimum Cluster Size (nodes)
  type: PropertyValue
  value: ClickHouse: 1 (can run standalone) | Amazon Redshift: 2 (minimum production)
  value reference: ClickHouse
additional property: Max Concurrent Queries (default config)
  type: PropertyValue
  value: ClickHouse: Unlimited (resource-based) | Amazon Redshift: 32 (base, expandable via Concurrency Scaling)
additional property: Data Ingestion Latency
  type: PropertyValue
  value: ClickHouse: Microseconds to milliseconds | Amazon Redshift: Batch (minutes to hours typical)
  value reference: ClickHouse
additional property: AWS Service Integration (native)
  type: PropertyValue
  value: ClickHouse: 5-10 (via third-party) | Amazon Redshift: 20+ (native connectors)
  value reference: Amazon Redshift
additional property: GitHub Stars (as of 2026)
  type: PropertyValue
  value: ClickHouse: 25000+ | Amazon Redshift: Not open-source (proprietary)
interactivity type: active
significant link: https://www.aversusb.net/entity/clickhouse
significant link: https://www.aversusb.net/alternatives/clickhouse
significant link: https://www.aversusb.net/entity/amazon-redshift
significant link: https://www.aversusb.net/alternatives/amazon-redshift
significant link: https://www.aversusb.net/api/answer/clickhouse-vs-redshift)
significant link: https://www.aversusb.net/api/v1/schema/clickhouse-vs-redshift)
related link: https://www.aversusb.net/compare/clickhouse-vs-redshift
related link: https://www.aversusb.net/compare/snowflake-vs-clickhouse
related link: https://www.aversusb.net/compare/clickhouse-vs-duckdb
related link: https://www.aversusb.net/compare/clickhouse-vs-pinot
related link: https://www.aversusb.net/compare/clickhouse-vs-druid
related link: https://www.aversusb.net/compare/druid-vs-redshift
related link: https://www.aversusb.net/compare/pinot-vs-redshift
related link: https://www.aversusb.net/compare/clickhouse-vs-bigquery
teaches: How to choose between ClickHouse and Amazon Redshift
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: ClickHouse vs Amazon Redshift — Side-by-side comparison on A Versus B

A Versus B
type: Organization

ClickHouse
type: SoftwareApplication
alternate name: Clickhouse
language: en-US
description: High-performance open-source columnar OLAP database optimized for analytical queries on massive datasets
image: ImageObject
  caption: ClickHouse
subject of: ClickHouse vs Amazon Redshift
image: ImageObject
  caption: ClickHouse

Amazon Redshift
type: SoftwareApplication
alternate name: AR
language: en-US
description: AWS's fully managed data warehouse service with native cloud integration and enterprise-grade reliability
subject of: ClickHouse vs Amazon Redshift

ClickHouse vs Amazon Redshift — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for ClickHouse vs Amazon Redshift. Contains 90 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
  type: DataDownload
  encoding format: application/json
distribution: Related comparisons JSON
  type: DataDownload
  encoding format: application/json
variable measured: Query Latency (1 billion rows)
  type: PropertyValue
  value reference: Performance
variable measured: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value reference: Pricing
variable measured: Setup Time
  type: PropertyValue
  value reference: Ease of Use
variable measured: Ingestion Throughput
  type: PropertyValue
  value reference: Performance
variable measured: Data Retention for Time-Travel
  type: PropertyValue
  value reference: Features
variable measured: Compression Ratio
  type: PropertyValue
  value reference: Storage
variable measured: Licensing Model
  type: PropertyValue
  value reference: Economics
variable measured: Learning Curve (1-10 Scale)
  type: PropertyValue
  value reference: Usability
variable measured: Query Latency (1GB aggregation)
  type: PropertyValue
  value reference: Performance
variable measured: Compression Ratio (typical)
  type: PropertyValue
  value reference: Efficiency
variable measured: Memory Required (minimal)
  type: PropertyValue
  value reference: Resource Usage
variable measured: Ingest Throughput
  type: PropertyValue
  value reference: Performance
variable measured: Setup Time to First Query
  type: PropertyValue
  value reference: Ease of Use
variable measured: SQL Standard Compliance
  type: PropertyValue
  value reference: Developer Experience
variable measured: Query Latency (p99)
  type: PropertyValue
  value reference: Performance
variable measured: Ingestion Latency (end-to-end)
  type: PropertyValue
  value reference: Real-time Performance
variable measured: Memory Usage per Query
  type: PropertyValue
  value reference: Efficiency
variable measured: Maximum Cluster Size
  type: PropertyValue
  value reference: Scalability
variable measured: Native SQL Support
  type: PropertyValue
  value reference: Querying
variable measured: Multi-tenancy Isolation
  type: PropertyValue
  value reference: Architecture
variable measured: Typical Cost per TB/year
  type: PropertyValue
  value reference: Economics
variable measured: Ingestion Latency
  type: PropertyValue
  value reference: Performance
variable measured: Query Latency (100M rows)
  type: PropertyValue
  value reference: Performance
variable measured: Data Compression Ratio
  type: PropertyValue
  value reference: Storage Efficiency
variable measured: Maximum Cluster Nodes
  type: PropertyValue
  value reference: Scalability
variable measured: Streaming Integration
  type: PropertyValue
  value reference: Features
variable measured: Transaction Support
  type: PropertyValue
  value reference: Features
variable measured: GitHub Stars (2026)
  type: PropertyValue
  value reference: Community
variable measured: Typical Maximum Dataset Size
  type: PropertyValue
  value reference: Scalability
variable measured: Idle Memory Usage
  type: PropertyValue
  value reference: Resource Efficiency
variable measured: Supported Data Formats
  type: PropertyValue
  value reference: Compatibility
variable measured: Query Latency (100M rows, simple aggregation)
  type: PropertyValue
  value reference: Performance
variable measured: Typical Storage Cost
  type: PropertyValue
  value reference: Cost
variable measured: Max Recommended Dataset Size
  type: PropertyValue
  value reference: Scalability
variable measured: SQL Feature Completeness
  type: PropertyValue
  value reference: Features
variable measured: Time-Series Aggregation Support
  type: PropertyValue
  value reference: Features
variable measured: Max Ingestion Throughput
  type: PropertyValue
  value reference: Performance
variable measured: Storage Cost per TB/Month
  type: PropertyValue
  value reference: Cost
variable measured: Typical Node Memory
  type: PropertyValue
  value reference: Infrastructure
variable measured: Minimum Recommended Cluster Size
  type: PropertyValue
  value reference: Deployment
variable measured: Max Dataset Size (Practical)
  type: PropertyValue
  value reference: Scalability
variable measured: Query Latency (1B row scan, 10 column aggregate)
  type: PropertyValue
  value reference: Performance
variable measured: Storage Cost (per TB/month)
  type: PropertyValue
  value reference: Pricing
variable measured: Typical Data Compression Ratio
  type: PropertyValue
  value reference: Storage Efficiency
variable measured: Minimum Cluster Size (nodes)
  type: PropertyValue
  value reference: Infrastructure
variable measured: Max Concurrent Queries (default config)
  type: PropertyValue
  value reference: Throughput
variable measured: Data Ingestion Latency
  type: PropertyValue
  value reference: Real-time Performance
variable measured: AWS Service Integration (native)
  type: PropertyValue
  value reference: Ecosystem
variable measured: GitHub Stars (as of 2026)
  type: PropertyValue
  value reference: Community Adoption
variable measured: Query Latency (1 billion rows, simple SELECT)
  type: PropertyValue
  value reference: Performance
variable measured: Cost per GB Scanned
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Ingestion Rate
  type: PropertyValue
  value reference: Performance
variable measured: Infrastructure Management Overhead
  type: PropertyValue
  value reference: Operations
variable measured: Minimum Monthly Cost (basic setup)
  type: PropertyValue
  value reference: Pricing
variable measured: Cloud Provider Support
  type: PropertyValue
  value reference: Deployment
variable measured: Automatic Scaling Time
  type: PropertyValue
  value reference: Performance
variable measured: SQL Compatibility
  type: PropertyValue
  value reference: Features
variable measured: Average Query Latency (1 Billion Row Scan)
  type: PropertyValue
  value reference: Performance
variable measured: Monthly Cost per TB Stored
  type: PropertyValue
  value reference: Cost
variable measured: Time to Production Deployment
  type: PropertyValue
  value reference: Operations
variable measured: Maximum Concurrent Queries
variable measured: Uptime SLA Guarantee
variable measured: Native AWS Service Integration
variable measured: Data Ingestion Rate
variable measured: Typical Query Cost (per TB scanned)
variable measured: Setup Time (to production)
variable measured: Supported Data Retention
variable measured: Typical Memory Per Node
variable measured: Query Latency (Average)
is based on: https://www.aversusb.net/compare/clickhouse-vs-redshift)

ClickHouse vs Amazon Redshift — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for ClickHouse vs Amazon Redshift.
has defined term: Performance
has defined term: Pricing
has defined term: Ease of Use
has defined term: Features
has defined term: Storage
has defined term: Economics
has defined term: Usability
has defined term: Efficiency
has defined term: Resource Usage
has defined term: Developer Experience
has defined term: Real-time Performance
has defined term: Scalability
has defined term: Querying
has defined term: Architecture
has defined term: Storage Efficiency
has defined term: Community
has defined term: Resource Efficiency
has defined term: Compatibility
has defined term: Cost
has defined term: Infrastructure
has defined term: Deployment
has defined term: Throughput
has defined term: Ecosystem
has defined term: Community Adoption
has defined term: Operations
has defined term: Reliability
has defined term: Integration
has defined term: Data Management
has defined term: Data Pipeline
has defined term: Collaboration
has defined term: Legal
has defined term: Scale
has defined term: Implementation

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

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

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

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

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

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

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

Efficiency
type: DefinedTerm
term code: efficiency
in defined term set: ClickHouse vs Amazon Redshift — Attribute Category Vocabulary

Resource Usage
type: DefinedTerm
term code: resource-usage
in defined term set: ClickHouse vs Amazon Redshift — Attribute Category Vocabulary

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

Real-time Performance
type: DefinedTerm
term code: real-time-performance
in defined term set: ClickHouse vs Amazon Redshift — Attribute Category Vocabulary

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

Querying
type: DefinedTerm
term code: querying
in defined term set: ClickHouse vs Amazon Redshift — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Legal
type: DefinedTerm
term code: legal
in defined term set: ClickHouse vs Amazon Redshift — Attribute Category Vocabulary

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

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-07T14:28:21.720Z
author: A Versus B
publisher: A Versus B
is part of: clickhouse-vs-redshift)
main entity: Which is cheaper: ClickHouse or Redshift?
  type: Question
  accepted answer: Answer
    text: ClickHouse is dramatically cheaper—approximately 15-25x lower cost per TB stored ($0.06-$0.12/TB/month vs $1.50-$3.00). However, Redshift has no infrastructure management costs, while self-managed ClickHouse requires DevOps expertise. For a 100TB warehouse, Redshift costs ~$15,000/month vs ClickHouse at ~$900/month (self-managed) or ~$3,000/month with a managed provider.
    language: en-US
main entity: Is ClickHouse faster than Redshift?
  type: Question
  accepted answer: Answer
    text: Yes, ClickHouse is 4-10x faster on analytical queries. On billion-row datasets, ClickHouse delivers results in 50-100ms while Redshift takes 200-500ms. ClickHouse's columnar architecture and superior compression enable sub-second latency on scans that would take seconds in Redshift. However, Redshift's query optimizer performs better on complex joins across multiple large tables.
    language: en-US
main entity: Can I migrate from Redshift to ClickHouse?
  type: Question
  accepted answer: Answer
    text: Yes, but it requires effort. Both support SQL, but Redshift-specific functions (LAG, WINDOW, certain date functions) need rewriting. Data migration tools exist (AWS DMS, custom ETL), but expect 2-6 weeks for a 100TB+ warehouse. Query rewrites typically take 2-4 weeks. Reverse migration (ClickHouse to Redshift) is harder due to ClickHouse's more advanced features.
    language: en-US
main entity: Which requires less DevOps maintenance?
  type: Question
  accepted answer: Answer
    text: Redshift requires virtually zero DevOps—AWS handles patching, backups, scaling, and security. ClickHouse self-managed requires significant DevOps work (infrastructure provisioning, monitoring, failover, optimization). Managed ClickHouse services (Yandex Cloud, Altinity) reduce this to ~20% of self-managed effort, closing the gap considerably.
    language: en-US
main entity: Which is better for AWS environments?
  type: Question
  accepted answer: Answer
    text: Redshift is optimized for AWS with native integration to Glue, S3, Lambda, Athena, and QuickSight. ClickHouse requires additional connectors and middleware. If you're heavily invested in AWS and have no budget constraints, Redshift is faster to deploy. If cost is critical or you need maximum analytical performance, ClickHouse with managed service provider (e.g., Altinity on AWS) is viable.
    language: en-US

How to Choose Between ClickHouse and Amazon Redshift
type: HowTo
description: ClickHouse is a columnar OLAP database optimized for sub-second queries on massive datasets with lower operational costs, while Redshift is AWS's managed data warehouse solution offering seamless AWS integration and enterprise support at higher pricing. ClickHouse excels in analytical performance per dollar; Redshift wins for organizations already invested in AWS infrastructure.
language: en-US
total time: PT3M
step: Consider: Query Performance on 1B+ Row Datasets
step: Consider: Cost per TB/Month (On-Demand)
step: Consider: Deployment Model
step: Consider: AWS Ecosystem Integration
step: Consider: Setup Time for Production Cluster
step: Consider: Compression Ratio Typical
step: Consider: Enterprise SLA & Support
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose ClickHouse if you need maximum analytical query performance, operate at scale (100B+ rows), require cost-efficiency, and can manage infrastructure or use a specialized managed provider. Choose Redshift if you're already in the AWS ecosystem, need enterprise-grade SLAs, prefer turnkey deployment, and can justify the premium pricing for operational simplicity.

Consider: Query Performance on 1B+ Row Datasets
type: HowToStep
position: 1
text: Query Performance on 1B+ Row Datasets: ClickHouse has 50-100ms (typical), while Amazon Redshift has 200-500ms (typical).

Consider: Cost per TB/Month (On-Demand)
type: HowToStep
position: 2
text: Cost per TB/Month (On-Demand): ClickHouse has $0.06-$0.12, while Amazon Redshift has $1.50-$3.00.

Consider: Deployment Model
type: HowToStep
position: 3
text: Deployment Model: ClickHouse has Self-managed or managed service, while Amazon Redshift has Fully managed (AWS only).

Consider: AWS Ecosystem Integration
type: HowToStep
position: 4
text: AWS Ecosystem Integration: ClickHouse has Limited (third-party tools required), while Amazon Redshift has Native (Glue, S3, Lambda, QuickSight).

Consider: Setup Time for Production Cluster
type: HowToStep
position: 5
text: Setup Time for Production Cluster: ClickHouse has 2-4 weeks (self-managed) or 1 day (managed), while Amazon Redshift has 15-30 minutes.

Consider: Compression Ratio Typical
type: HowToStep
position: 6
text: Compression Ratio Typical: ClickHouse has 10:1 to 20:1, while Amazon Redshift has 5:1 to 10:1.

Consider: Enterprise SLA & Support
type: HowToStep
position: 7
text: Enterprise SLA & Support: ClickHouse has Community-driven or 3rd-party vendors, while Amazon Redshift has 24/7 AWS support with SLA guarantee.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: ClickHouse vs Amazon Redshift
review body: ClickHouse is a columnar OLAP database optimized for sub-second queries on massive datasets with lower operational costs, while Redshift is AWS's managed data warehouse solution offering seamless AWS integration and enterprise support at higher pricing. ClickHouse excels in analytical performance per dollar; Redshift wins for organizations already invested in AWS infrastructure.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: ClickHouse vs Amazon Redshift

Query Latency (1 billion rows, simple SELECT)
type: PropertyValue
value: ClickHouse: 150ms | Amazon Redshift: N/A

Cost per GB Scanned
type: PropertyValue
value: ClickHouse: $0.015 | Amazon Redshift: N/A

Maximum Ingestion Rate
type: PropertyValue
value: ClickHouse: 1,000,000 | Amazon Redshift: N/A

Infrastructure Management Overhead
type: PropertyValue
value: ClickHouse: 40-80 hours | Amazon Redshift: N/A

Minimum Monthly Cost (basic setup)
type: PropertyValue
value: ClickHouse: $500 (ClickHouse Cloud starter) | Amazon Redshift: N/A

Cloud Provider Support
type: PropertyValue
value: ClickHouse: 4+ (AWS, Azure, GCP, on-premise) | Amazon Redshift: N/A

Automatic Scaling Time
type: PropertyValue
value: ClickHouse: 60-300 (manual cluster resize required) | Amazon Redshift: N/A

SQL Compatibility
type: PropertyValue
value: ClickHouse: MySQL-compatible with ClickHouse extensions | Amazon Redshift: N/A

Average Query Latency (1 Billion Row Scan)
type: PropertyValue
value: ClickHouse: 75ms | Amazon Redshift: 350ms
value reference: ClickHouse

Monthly Cost per TB Stored
type: PropertyValue
value: ClickHouse: $0.09 | Amazon Redshift: $2.25
value reference: ClickHouse

Time to Production Deployment
type: PropertyValue
value: ClickHouse: 1440 (self-managed) / 60 (managed) | Amazon Redshift: 20
value reference: Amazon Redshift

Maximum Concurrent Queries
type: PropertyValue
value: ClickHouse: 100,000+ | Amazon Redshift: 10,000+
value reference: ClickHouse

Uptime SLA Guarantee
type: PropertyValue
value: ClickHouse: 99.0% (self-managed) / 99.95% (managed) | Amazon Redshift: 99.99%
value reference: Amazon Redshift

Native AWS Service Integration
type: PropertyValue
value: ClickHouse: 3 (S3, Kinesis via 3rd party, basic) | Amazon Redshift: 12+ (S3, Glue, Lambda, Athena, QuickSight, IAM, EventBridge, etc.)
value reference: Amazon Redshift

Data Ingestion Rate
type: PropertyValue
value: ClickHouse: 1-5 | Amazon Redshift: 0.5-2
value reference: ClickHouse

Typical Query Cost (per TB scanned)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: $1.50-$5.00

Setup Time (to production)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 1-3

Supported Data Retention
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: Unlimited historical storage

Typical Memory Per Node
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 160-256

Query Latency (Average)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 1-10 seconds

Data Freshness
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: Minutes to hours typical

Concurrent User Support
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 2,000+

License Type
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: AWS Proprietary Managed Service

Deployment Flexibility
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: AWS only

Ingestion Streaming Support
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: Limited via Kinesis/S3 batch

Base Monthly Cost (Small Cluster)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: $2,160-8,640 (dc2.large, 2-4 nodes)

Base Hourly Cost (2-node cluster)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: $0.50 (DC2.large)

Query Performance (TPC-DS 100GB)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: ~16 seconds

Scaling Adjustment Time
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 10-15 (requires cluster resize + restart)

Maximum Single Query Data Scanned
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 100+

Cloud Providers Supported
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 1 (AWS only)

Annual Contract Discount
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: Up to 30%

Configuration Tuning Required
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 40-80 (distribution keys, sort keys, vacuum)

Annual TCO (100TB storage, average usage)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: $200,000

TPC-DS Query Benchmark (100GB dataset)
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 42

Setup Time to Production
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 40-60 hours

Maximum Concurrent Users
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 50 (standard)

Cloud Platform Support
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: AWS only

Compute-Storage Decoupling
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: Coupled (scale together)

Data Marketplace Size
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: ~200 (limited)

Reserved Instance Discount
type: PropertyValue
value: ClickHouse: N/A | Amazon Redshift: 70%

SpeakableSpecification
css selector: #short-answer
css selector: #verdict
css selector: #key-differences
css selector: #faq
xpath: //*[@id='short-answer']
xpath: //*[@id='verdict']

ClickHouse — Wikipedia
type: CreativeWork

Amazon Redshift — Wikipedia
type: CreativeWork

Compare ClickHouse vs Amazon Redshift
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/clickhouse-vs-redshift)
object: ClickHouse
object: Amazon Redshift

Maximum Concurrent Queries
type: PropertyValue
value reference: Scalability

Uptime SLA Guarantee
type: PropertyValue
value reference: Reliability

Native AWS Service Integration
type: PropertyValue
value reference: Integration

Data Ingestion Rate
type: PropertyValue
value reference: Performance

Typical Query Cost (per TB scanned)
type: PropertyValue
value reference: Cost

Setup Time (to production)
type: PropertyValue
value reference: Operations

Supported Data Retention
type: PropertyValue
value reference: Data Management

Typical Memory Per Node
type: PropertyValue
value reference: Resource Efficiency

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

Data Freshness
type: PropertyValue
value reference: Data Pipeline

Concurrent User Support
type: PropertyValue
value reference: Collaboration

License Type
type: PropertyValue
value reference: Legal

Deployment Flexibility
type: PropertyValue
value reference: Infrastructure

Ingestion Streaming Support
type: PropertyValue
value reference: Data Pipeline

Base Monthly Cost (Small Cluster)
type: PropertyValue
value reference: Cost

Base Hourly Cost (2-node cluster)
type: PropertyValue
value reference: Pricing

Query Performance (TPC-DS 100GB)
type: PropertyValue
value reference: Performance

Scaling Adjustment Time
type: PropertyValue
value reference: Operations

Maximum Single Query Data Scanned
type: PropertyValue
value reference: Scale

Cloud Providers Supported
type: PropertyValue
value reference: Deployment

Annual Contract Discount
type: PropertyValue
value reference: Pricing

Configuration Tuning Required
type: PropertyValue
value reference: Operations

Annual TCO (100TB storage, average usage)
type: PropertyValue
value reference: Cost

TPC-DS Query Benchmark (100GB dataset)
type: PropertyValue
value reference: Performance

Setup Time to Production
type: PropertyValue
value reference: Implementation

Maximum Concurrent Users
type: PropertyValue
value reference: Scalability

Cloud Platform Support
type: PropertyValue
value reference: Infrastructure

Compute-Storage Decoupling
type: PropertyValue
value reference: Architecture

Data Marketplace Size
type: PropertyValue
value reference: Ecosystem

Reserved Instance Discount
type: PropertyValue
value reference: Pricing