Druid vs Amazon Redshift
type: Article
description: Druid is a real-time OLAP database optimized for sub-second analytics on streaming data, while Redshift is a data warehouse designed for batch processing of large analytical queries. Druid excels at time-series and event data with millisecond latency, whereas Redshift offers superior query performance on petabyte-scale datasets through columnar compression.
language: en-US
date published: 2026-06-18T04:50:45.862Z
date created: 2026-06-18T04:50:45.862Z
date modified: 2026-06-18T04:50:45.913Z
content reference time: 2026-06-18T04:50:45.913Z
author: A Versus B
publisher: A Versus B
about: Apache Druid
about: Amazon Redshift
abstract: Druid is a real-time OLAP database optimized for sub-second analytics on streaming data, while Redshift is a data warehouse designed for batch processing of large analytical queries. Druid excels at time-series and event data with millisecond latency, whereas Redshift offers superior query performance on petabyte-scale datasets through columnar compression.
text: Query Latency. Primary Use Case. Data Ingestion Rate. Typical Cluster Cost (Monthly). Data Retention Model. Ease of Setup. SQL Dialect Support
conclusion text: Choose Druid if you need real-time dashboards, live event streaming analytics, or sub-second query latency on time-series data—it's built for speed on incoming data. Choose Redshift if you're running a traditional data warehouse with complex analytical queries on historical data, need AWS ecosystem integration, or prefer a fully managed solution with minimal operational overhead.
additional property: Query Latency (1B rows, 100 dimensions)
  type: PropertyValue
  value: Apache Druid: 50-150ms | Amazon Redshift: N/A
additional property: Memory Footprint per 1GB Data
  type: PropertyValue
  value: Apache Druid: 600-900MB | Amazon Redshift: N/A
additional property: Maximum Events/Sec per Node
  type: PropertyValue
  value: Apache Druid: 100K-500K | Amazon Redshift: N/A
additional property: Typical Cluster Setup Cost
  type: PropertyValue
  value: Apache Druid: $2500-5000 | Amazon Redshift: N/A
additional property: Multi-table JOIN Support
  type: PropertyValue
  value: Apache Druid: Limited (requires denormalization) | Amazon Redshift: N/A
additional property: SQL Compatibility
  type: PropertyValue
  value: Apache Druid: Custom JSON/Druid QL | Amazon Redshift: N/A
additional property: Enterprise Deployments
  type: PropertyValue
  value: Apache Druid: 500+ (Airbnb, Netflix, etc) | Amazon Redshift: N/A
additional property: Query Latency (p95 on Real-Time Data)
  type: PropertyValue
  value: Apache Druid: 100-500ms | Amazon Redshift: N/A
additional property: Minimum Cluster Size for 1TB Dataset
  type: PropertyValue
  value: Apache Druid: 3-5 nodes | Amazon Redshift: N/A
additional property: Native SQL Support
  type: PropertyValue
  value: Apache Druid: Druid SQL (Full) | Amazon Redshift: N/A
additional property: GitHub Stars (Community Activity)
  type: PropertyValue
  value: Apache Druid: 15,800 | Amazon Redshift: N/A
additional property: Typical Use Case Flexibility
  type: PropertyValue
  value: Apache Druid: Real-time metrics (specialized) | Amazon Redshift: N/A
additional property: JOIN Operation Support
  type: PropertyValue
  value: Apache Druid: Limited (basic) | Amazon Redshift: N/A
additional property: Max Ingestion Throughput
  type: PropertyValue
  value: Apache Druid: 500,000 | Amazon Redshift: N/A
additional property: Query Latency (50th percentile)
  type: PropertyValue
  value: Apache Druid: 150 | Amazon Redshift: N/A
additional property: Data Compression Ratio (metrics)
  type: PropertyValue
  value: Apache Druid: 10:1 | Amazon Redshift: N/A
additional property: Full-Text Search Capability
  type: PropertyValue
  value: Apache Druid: Basic (limited analyzers) | Amazon Redshift: N/A
additional property: GitHub Stars
  type: PropertyValue
  value: Apache Druid: 15,200 | Amazon Redshift: N/A
additional property: Minimum Cluster Node Count
  type: PropertyValue
  value: Apache Druid: 3 | Amazon Redshift: N/A
additional property: Third-Party Integrations
  type: PropertyValue
  value: Apache Druid: 300+ | Amazon Redshift: N/A
additional property: Memory Overhead (1M events)
  type: PropertyValue
  value: Apache Druid: 120 | Amazon Redshift: N/A
additional property: Query Latency (p99)
  type: PropertyValue
  value: Apache Druid: 500ms | Amazon Redshift: 8000ms
  value reference: Apache Druid
additional property: Data Ingestion Rate
  type: PropertyValue
  value: Apache Druid: 1,000,000 | Amazon Redshift: 0.5-2
  value reference: Apache Druid
additional property: Maximum Cluster Size
  type: PropertyValue
  value: Apache Druid: Unlimited (distributed) | Amazon Redshift: Petabyte scale
additional property: Typical Query Cost (per TB scanned)
  type: PropertyValue
  value: Apache Druid: $0.10-$0.50 | Amazon Redshift: $1.50-$5.00
  value reference: Apache Druid
additional property: Setup Time (to production)
  type: PropertyValue
  value: Apache Druid: 14-30 | Amazon Redshift: 1-3
  value reference: Amazon Redshift
additional property: Supported Data Retention
  type: PropertyValue
  value: Apache Druid: Time-window based (7 days to 3 years typical) | Amazon Redshift: Unlimited historical storage
additional property: SQL Standard Compliance
  type: PropertyValue
  value: Apache Druid: ~60% ANSI SQL | Amazon Redshift: 95% (PostgreSQL-compatible)
  value reference: Amazon Redshift
additional property: Typical Memory Per Node
  type: PropertyValue
  value: Apache Druid: 16-64 | Amazon Redshift: 160-256
  value reference: Apache Druid
additional property: P99 Query Latency
  type: PropertyValue
  value: Apache Druid: 100-500ms | Amazon Redshift: N/A
additional property: Median Query Latency
  type: PropertyValue
  value: Apache Druid: 10-100ms | Amazon Redshift: N/A
additional property: Data Ingestion Latency
  type: PropertyValue
  value: Apache Druid: 1-5 seconds (streaming) | Amazon Redshift: Batch (minutes to hours typical)
  value reference: Apache Druid
additional property: Query Cost (On-Demand)
  type: PropertyValue
  value: Apache Druid: Included in storage/infrastructure | Amazon Redshift: N/A
additional property: Maximum Dataset Size Supported
  type: PropertyValue
  value: Apache Druid: Petabyte+ (with cluster scaling) | Amazon Redshift: N/A
additional property: Deployment Options
  type: PropertyValue
  value: Apache Druid: Self-hosted, cloud, hybrid, open-source | Amazon Redshift: N/A
additional property: Operational Management Overhead
  type: PropertyValue
  value: Apache Druid: High (cluster tuning, scaling, monitoring) | Amazon Redshift: N/A
additional property: Query Latency (P99 percentile)
  type: PropertyValue
  value: Apache Druid: 250ms | Amazon Redshift: N/A
additional property: Maximum Ingestion Rate
  type: PropertyValue
  value: Apache Druid: 1,000,000+ | Amazon Redshift: N/A
additional property: Storage Cost
  type: PropertyValue
  value: Apache Druid: $5 (self-hosted avg) | Amazon Redshift: N/A
additional property: Concurrent Query Capacity
  type: PropertyValue
  value: Apache Druid: 300 | Amazon Redshift: N/A
additional property: SQL Compliance
  type: PropertyValue
  value: Apache Druid: Proprietary Druid SQL with extensions | Amazon Redshift: N/A
additional property: Time to First Query
  type: PropertyValue
  value: Apache Druid: 45 (self-hosted setup) | Amazon Redshift: N/A
additional property: Minimum Cluster Size
  type: PropertyValue
  value: Apache Druid: 3 (recommended) | Amazon Redshift: N/A
additional property: Streaming Ingestion Rate
  type: PropertyValue
  value: Apache Druid: 1M+ | Amazon Redshift: N/A
additional property: Aggregation Query Throughput
  type: PropertyValue
  value: Apache Druid: 50K-100K | Amazon Redshift: N/A
additional property: Storage Compression Ratio
  type: PropertyValue
  value: Apache Druid: 10:1 to 20:1 | Amazon Redshift: N/A
additional property: Operational Components
  type: PropertyValue
  value: Apache Druid: 12+ (Coordinator, Broker, Historical, MiddleManager, Overlord, Router) | Amazon Redshift: N/A
additional property: High-Cardinality Dimension Support
  type: PropertyValue
  value: Apache Druid: 1M-10M practical limit | Amazon Redshift: N/A
additional property: Segment Size (typical)
  type: PropertyValue
  value: Apache Druid: 100-500MB segments | Amazon Redshift: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/apache-druid
significant link: https://www.aversusb.net/alternatives/apache-druid
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/druid-vs-redshift
significant link: https://www.aversusb.net/api/v1/schema/druid-vs-redshift
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related link: https://www.aversusb.net/compare/pinot-vs-redshift
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related link: https://www.aversusb.net/compare/canva-vs-photoshop
teaches: How to choose between Apache Druid and Amazon Redshift
genre: Software

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

A Versus B
type: Organization

Apache Druid
type: SoftwareApplication
alternate name: AD
language: en-US
description: Real-time OLAP database optimized for time-series analytics and streaming ingestion.
subject of: Druid vs Amazon Redshift

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

Druid vs Amazon Redshift — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Druid vs Amazon Redshift. Contains 100 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
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  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 (1B rows, 100 dimensions)
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variable measured: Memory Footprint per 1GB Data
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  value reference: Resource Efficiency
variable measured: Maximum Events/Sec per Node
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variable measured: Typical Cluster Setup Cost
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variable measured: Multi-table JOIN Support
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variable measured: SQL Compatibility
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variable measured: Enterprise Deployments
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variable measured: Query Latency (p95 on Real-Time Data)
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variable measured: Minimum Cluster Size for 1TB Dataset
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variable measured: Native SQL Support
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variable measured: GitHub Stars (Community Activity)
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variable measured: Typical Use Case Flexibility
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variable measured: JOIN Operation Support
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variable measured: Max Ingestion Throughput
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variable measured: Query Latency (50th percentile)
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variable measured: Data Compression Ratio (metrics)
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variable measured: Full-Text Search Capability
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variable measured: GitHub Stars
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variable measured: Concurrent Query Capacity
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variable measured: SQL Compliance
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variable measured: Time to First Query
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variable measured: Streaming Ingestion Rate
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variable measured: Aggregation Query Throughput
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variable measured: Storage Compression Ratio
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variable measured: High-Cardinality Dimension Support
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variable measured: Segment Size (typical)
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variable measured: Learning Curve (Complexity)
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variable measured: Query Latency (Average)
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variable measured: Data Freshness
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variable measured: Concurrent User Support
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variable measured: License Type
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variable measured: Ingestion Streaming Support
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variable measured: Base Monthly Cost (Small Cluster)
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variable measured: Storage Cost (per TB/month)
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variable measured: Typical Data Compression Ratio
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variable measured: Minimum Cluster Size (nodes)
variable measured: Max Concurrent Queries (default config)
variable measured: AWS Service Integration (native)
variable measured: GitHub Stars (as of 2026)
variable measured: Base Hourly Cost (2-node cluster)
variable measured: Query Performance (TPC-DS 100GB)
variable measured: Scaling Adjustment Time
variable measured: Maximum Single Query Data Scanned
variable measured: Cloud Providers Supported
is based on: https://www.aversusb.net/compare/druid-vs-redshift

Druid vs Amazon Redshift — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Druid vs Amazon Redshift.
has defined term: Performance
has defined term: Resource Efficiency
has defined term: Throughput
has defined term: Economics
has defined term: Query Features
has defined term: Features
has defined term: Market Position
has defined term: Infrastructure
has defined term: Querying
has defined term: Community
has defined term: Storage
has defined term: Adoption & Community
has defined term: Operations
has defined term: Resources
has defined term: Scalability
has defined term: Cost
has defined term: Data Management
has defined term: Compatibility
has defined term: Data Ingestion
has defined term: Pricing
has defined term: Setup Speed
has defined term: Ingestion
has defined term: Efficiency
has defined term: Data Pipeline
has defined term: Collaboration
has defined term: Licensing
has defined term: Storage Efficiency
has defined term: Ecosystem
has defined term: Community Adoption
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: Operability
has defined term: Cost Structure

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

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

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

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

Query Features
type: DefinedTerm
term code: query-features
in defined term set: Druid vs Amazon Redshift — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

Resources
type: DefinedTerm
term code: resources
in defined term set: Druid vs Amazon Redshift — Attribute Category Vocabulary

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

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

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

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

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

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

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

Ingestion
type: DefinedTerm
term code: ingestion
in defined term set: Druid vs Amazon Redshift — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-06-18T04:50:45.913Z
author: A Versus B
publisher: A Versus B
is part of: druid-vs-redshift
main entity: When should I use Druid instead of Redshift?
  type: Question
  accepted answer: Answer
    text: Use Druid when you need real-time analytics with sub-second latency on streaming data (clickstreams, user events, sensor data, financial ticks). Redshift is better if you're running traditional data warehouse queries on historical data without real-time requirements. Druid's strength is speed on incoming data; Redshift's strength is analyzing massive historical datasets.
    language: en-US
main entity: What's the cost difference between Druid and Redshift?
  type: Question
  accepted answer: Answer
    text: Druid is often cheaper for high-throughput streaming (pay per ingestion/query), typically $3K-$15K/month for mid-sized clusters. Redshift costs depend on node type ($2K-$20K+/month), but includes AWS managed services. For bursty or unpredictable workloads, Redshift concurrency scaling adds costs; Druid's pay-as-you-go is more predictable for streaming scenarios.
    language: en-US
main entity: Can Druid and Redshift be used together?
  type: Question
  accepted answer: Answer
    text: Yes—many organizations use both. Druid handles real-time dashboards and live analytics (hot data), while Redshift handles deeper historical analysis and long-term archival queries. Data can flow from Druid to Redshift for cold-storage analytics via tools like Apache Kafka or AWS S3.
    language: en-US
main entity: Which requires less operational overhead?
  type: Question
  accepted answer: Answer
    text: Redshift requires significantly less operational effort—it's fully managed by AWS with automatic scaling, backups, and patching. Druid requires hands-on cluster management, Zookeeper coordination, and tuning expertise. For teams without dedicated data engineering resources, Redshift is the better choice.
    language: en-US
main entity: How do query latencies compare for interactive dashboards?
  type: Question
  accepted answer: Answer
    text: Druid delivers 50-500ms latency suitable for live dashboards (feels instant to users). Redshift typically returns queries in 1-10 seconds, acceptable for batch reporting but noticeable lag in interactive exploration. If sub-second responsiveness is critical, Druid is the only choice.
    language: en-US

How to Choose Between Apache Druid and Amazon Redshift
type: HowTo
description: Druid is a real-time OLAP database optimized for sub-second analytics on streaming data, while Redshift is a data warehouse designed for batch processing of large analytical queries. Druid excels at time-series and event data with millisecond latency, whereas Redshift offers superior query performance on petabyte-scale datasets through columnar compression.
language: en-US
total time: PT3M
step: Consider: Query Latency
step: Consider: Primary Use Case
step: Consider: Data Ingestion Rate
step: Consider: Typical Cluster Cost (Monthly)
step: Consider: Data Retention Model
step: Consider: Ease of Setup
step: Consider: SQL Dialect Support
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Druid if you need real-time dashboards, live event streaming analytics, or sub-second query latency on time-series data—it's built for speed on incoming data. Choose Redshift if you're running a traditional data warehouse with complex analytical queries on historical data, need AWS ecosystem integration, or prefer a fully managed solution with minimal operational overhead.

Consider: Query Latency
type: HowToStep
position: 1
text: Query Latency: Apache Druid has 50-500ms (sub-second), while Amazon Redshift has 1-10 seconds (batch optimized).

Consider: Primary Use Case
type: HowToStep
position: 2
text: Primary Use Case: Apache Druid has Real-time OLAP and time-series analytics, while Amazon Redshift has Large-scale data warehouse and batch analytics.

Consider: Data Ingestion Rate
type: HowToStep
position: 3
text: Data Ingestion Rate: Apache Druid has Up to 1M events/second, while Amazon Redshift has Batch-oriented (slower streaming).

Consider: Typical Cluster Cost (Monthly)
type: HowToStep
position: 4
text: Typical Cluster Cost (Monthly): Apache Druid has $3,000-$15,000 for mid-size, while Amazon Redshift has $2,000-$20,000+ depending on node type.

Consider: Data Retention Model
type: HowToStep
position: 5
text: Data Retention Model: Apache Druid has Time-based rolling windows (hot/cold data), while Amazon Redshift has Persistent all-data storage.

Consider: Ease of Setup
type: HowToStep
position: 6
text: Ease of Setup: Apache Druid has Complex (requires Zookeeper, deep tuning), while Amazon Redshift has Simple (AWS-managed, minimal config).

Consider: SQL Dialect Support
type: HowToStep
position: 7
text: SQL Dialect Support: Apache Druid has Druid SQL (proprietary variant), while Amazon Redshift has PostgreSQL-compatible SQL.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Druid vs Amazon Redshift
review body: Druid is a real-time OLAP database optimized for sub-second analytics on streaming data, while Redshift is a data warehouse designed for batch processing of large analytical queries. Druid excels at time-series and event data with millisecond latency, whereas Redshift offers superior query performance on petabyte-scale datasets through columnar compression.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Druid vs Amazon Redshift

Learning Curve (Complexity)
type: PropertyValue
value: Apache Druid: 2-3 months | Amazon Redshift: N/A

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

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

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

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

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

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

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

Query Latency (1B row scan, 10 column aggregate)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 500-2000ms

Storage Cost (per TB/month)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: Included in node cost

Typical Data Compression Ratio
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 4-8x

Minimum Cluster Size (nodes)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 2 (minimum production)

Max Concurrent Queries (default config)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 32 (base, expandable via Concurrency Scaling)

AWS Service Integration (native)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 20+ (native connectors)

GitHub Stars (as of 2026)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: Not open-source (proprietary)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Average Query Latency (1 Billion Row Scan)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 350ms

Monthly Cost per TB Stored
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: $2.25

Maximum Concurrent Queries
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 10,000+

Uptime SLA Guarantee
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 99.99%

Native AWS Service Integration
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 12+ (S3, Glue, Lambda, Athena, QuickSight, IAM, EventBridge, etc.)

Typical Query Latency (100GB Dataset)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 500ms-5000ms

Storage Cost per TB per Month
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: $0.25-$0.50

Typical Setup Time for Production
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 3-7 days

Data Ingestion Freshness
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 300-3600 seconds

Columnar Compression Ratio
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 6:1 to 15:1

Maximum Concurrent Queries (Standard Node)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 15-25

SQL Dialect Compatibility
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: Full PostgreSQL compatible (95%+ ANSI SQL)

Horizontal Scalability
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: Linear scaling with node count limits

Time to Production Deployment
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 21-28 days

Estimated Annual Cost (1 PB throughput)
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: $180,000-$240,000

Cloud Provider Support
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 1 (AWS only)

Median Ad-hoc Query Response Time
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 120-240 seconds

Concurrent Users per Instance
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 50-100 typical

Data Compression Ratio
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: 10:1 average

Native Multi-Cloud Data Sharing
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: No (requires replication)

Minimum Compute Billing Unit
type: PropertyValue
value: Apache Druid: N/A | Amazon Redshift: Per-second (reserved/on-demand)

SpeakableSpecification
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Apache Druid — Wikipedia
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Amazon Redshift — Wikipedia
type: CreativeWork

Compare Apache Druid vs Amazon Redshift
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object: Apache Druid
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Minimum Cluster Size (nodes)
type: PropertyValue
value reference: Infrastructure

Max Concurrent Queries (default config)
type: PropertyValue
value reference: Throughput

AWS Service Integration (native)
type: PropertyValue
value reference: Ecosystem

GitHub Stars (as of 2026)
type: PropertyValue
value reference: Community Adoption

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: Integration

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: Deployment

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

Average Query Latency (1 Billion Row Scan)
type: PropertyValue
value reference: Performance

Monthly Cost per TB Stored
type: PropertyValue
value reference: Cost

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

Typical Query Latency (100GB Dataset)
type: PropertyValue
value reference: Performance

Storage Cost per TB per Month
type: PropertyValue
value reference: Cost

Typical Setup Time for Production
type: PropertyValue
value reference: Operational

Data Ingestion Freshness
type: PropertyValue
value reference: Performance

Columnar Compression Ratio
type: PropertyValue
value reference: Storage

Maximum Concurrent Queries (Standard Node)
type: PropertyValue
value reference: Performance

SQL Dialect Compatibility
type: PropertyValue
value reference: Compatibility

Horizontal Scalability
type: PropertyValue
value reference: Scalability

Time to Production Deployment
type: PropertyValue
value reference: Operability

Estimated Annual Cost (1 PB throughput)
type: PropertyValue
value reference: Cost

Cloud Provider Support
type: PropertyValue
value reference: Infrastructure

Median Ad-hoc Query Response Time
type: PropertyValue
value reference: Performance

Concurrent Users per Instance
type: PropertyValue
value reference: Scalability

Data Compression Ratio
type: PropertyValue
value reference: Storage Efficiency

Native Multi-Cloud Data Sharing
type: PropertyValue
value reference: Features

Minimum Compute Billing Unit
type: PropertyValue
value reference: Cost Structure