ClickHouse vs Druid
type: Article
description: ClickHouse is a column-oriented database optimized for analytical queries with superior compression and query speed, while Druid is a real-time OLAP database designed for time-series data and streaming ingestion with lower latency on aggregations. ClickHouse excels at batch analytics; Druid excels at real-time dashboarding.
language: en-US
date published: 2026-07-09T14:37:00.938Z
date created: 2026-07-09T14:37:00.938Z
date modified: 2026-07-09T14:37:00.989Z
content reference time: 2026-07-09T14:37:00.989Z
author: A Versus B
publisher: A Versus B
about: ClickHouse
about: Druid
abstract: ClickHouse is a column-oriented database optimized for analytical queries with superior compression and query speed, while Druid is a real-time OLAP database designed for time-series data and streaming ingestion with lower latency on aggregations. ClickHouse excels at batch analytics; Druid excels at real-time dashboarding.
text: Primary Use Case. Query Latency (Sub-second aggregations). Data Compression Ratio. Streaming Ingestion Support. SQL Dialect Support. Cluster Setup Complexity. Memory Footprint per 1TB Data
conclusion text: Choose ClickHouse if you need cost-effective analytical data warehousing, superior compression, and batch query performance for historical data analysis. Choose Druid if you need real-time dashboard analytics, sub-100ms latency on aggregations, and streaming data ingestion from Kafka/Kinesis with minimal delay.
additional property: P99 Query Latency (1B rows, aggregation)
  type: PropertyValue
  value: ClickHouse: 50-200ms | Druid: N/A
additional property: Ingestion Latency (Kafka to query-ready)
  type: PropertyValue
  value: ClickHouse: 5-30 seconds | Druid: N/A
additional property: SQL Compliance Level
  type: PropertyValue
  value: ClickHouse: Proprietary ANSI-SQL variant | Druid: N/A
additional property: Maximum Recommended Node Storage
  type: PropertyValue
  value: ClickHouse: 2-10TB per node | Druid: N/A
additional property: Native Streaming Sources
  type: PropertyValue
  value: ClickHouse: Kafka (basic), S3, File | Druid: N/A
additional property: Enterprise Support Availability
  type: PropertyValue
  value: ClickHouse: ClickHouse Inc (limited SLAs) | Druid: N/A
additional property: Query Latency (1 billion rows)
  type: PropertyValue
  value: ClickHouse: 1.2 seconds | Druid: N/A
additional property: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value: ClickHouse: $150 | Druid: N/A
additional property: Ingestion Throughput
  type: PropertyValue
  value: ClickHouse: 1,000,000 events/sec | Druid: N/A
additional property: Data Retention for Time-Travel
  type: PropertyValue
  value: ClickHouse: Not native | Druid: N/A
additional property: Compression Ratio
  type: PropertyValue
  value: ClickHouse: 8:1-12:1 | Druid: 4:1-6:1
  value reference: ClickHouse
additional property: Licensing Model
  type: PropertyValue
  value: ClickHouse: Open-source (free) + optional support | Druid: N/A
additional property: Learning Curve (1-10 scale)
  type: PropertyValue
  value: ClickHouse: 7/10 (moderate-hard) | Druid: N/A
additional property: Query Latency (1GB aggregation)
  type: PropertyValue
  value: ClickHouse: 500-2000ms | Druid: N/A
additional property: Compression Ratio (typical)
  type: PropertyValue
  value: ClickHouse: 10:1 to 40:1 | Druid: N/A
additional property: Memory Required (minimal)
  type: PropertyValue
  value: ClickHouse: 500-2000MB | Druid: N/A
additional property: Ingest Throughput
  type: PropertyValue
  value: ClickHouse: 1M+ with batching | Druid: N/A
additional property: Setup Time to First Query
  type: PropertyValue
  value: ClickHouse: 30-120 minutes | Druid: N/A
additional property: SQL Standard Compliance
  type: PropertyValue
  value: ClickHouse: 70% standard SQL | Druid: Druid SQL dialect (proprietary subset)
additional property: Query Latency (p99)
  type: PropertyValue
  value: ClickHouse: 200-500ms | Druid: N/A
additional property: Ingestion Latency (end-to-end)
  type: PropertyValue
  value: ClickHouse: 1000-10000ms | Druid: N/A
additional property: Memory Usage per Query
  type: PropertyValue
  value: ClickHouse: 50-200MB | Druid: N/A
additional property: Maximum Cluster Size
  type: PropertyValue
  value: ClickHouse: 100+ | Druid: N/A
additional property: Native SQL Support
  type: PropertyValue
  value: ClickHouse: Standard SQL with extensions | Druid: N/A
additional property: Multi-tenancy Isolation
  type: PropertyValue
  value: ClickHouse: Limited/requires custom logic | Druid: N/A
additional property: Typical Cost per TB/year
  type: PropertyValue
  value: ClickHouse: $800-1500 | Druid: N/A
additional property: Ingestion Latency
  type: PropertyValue
  value: ClickHouse: 10-60 seconds | Druid: 0.1-0.5 seconds
  value reference: Druid
additional property: Query Latency (100M rows)
  type: PropertyValue
  value: ClickHouse: 50-500ms | Druid: 100-1000ms
  value reference: ClickHouse
additional property: Maximum Cluster Nodes
  type: PropertyValue
  value: ClickHouse: 1000+ nodes tested | Druid: 500+ nodes tested
  value reference: ClickHouse
additional property: Streaming Integration
  type: PropertyValue
  value: ClickHouse: Limited (Kafka via TableEngine) | Druid: Native (Kafka, Kinesis, Pulsar)
additional property: Transaction Support
  type: PropertyValue
  value: ClickHouse: No ACID (eventual consistency) | Druid: No ACID (eventual consistency)
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: ClickHouse: 35,000+ | Druid: 16,000+ stars
  value reference: ClickHouse
additional property: Typical Maximum Dataset Size
  type: PropertyValue
  value: ClickHouse: ~1,000,000+ GB (1+ PB) | Druid: N/A
additional property: Idle Memory Usage
  type: PropertyValue
  value: ClickHouse: 500-2000 MB | Druid: N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: ClickHouse: 12+ formats (TSV, Native, Avro, Protobuf, etc.) | Druid: N/A
additional property: Query Latency (100M rows, simple aggregation)
  type: PropertyValue
  value: ClickHouse: 500-1500ms | Druid: 100-300ms
  value reference: Druid
additional property: Typical Storage Cost
  type: PropertyValue
  value: ClickHouse: $20-40 | Druid: $50-80
  value reference: ClickHouse
additional property: Max Recommended Dataset Size
  type: PropertyValue
  value: ClickHouse: 100TB+ efficiently | Druid: 10TB practical limit
  value reference: ClickHouse
additional property: SQL Feature Completeness
  type: PropertyValue
  value: ClickHouse: 95% (PostgreSQL-compatible) | Druid: 70% (Druid SQL dialect)
  value reference: ClickHouse
additional property: Time-Series Aggregation Support
  type: PropertyValue
  value: ClickHouse: Standard SQL; requires manual time bucketing | Druid: Native time_floor, granular rollups, datasource-level aggregations
additional property: Max Ingestion Throughput
  type: PropertyValue
  value: ClickHouse: 100,000-500,000 events/sec | Druid: N/A
additional property: Storage Cost per TB/month
  type: PropertyValue
  value: ClickHouse: $40-60 | Druid: N/A
additional property: Typical Node Memory
  type: PropertyValue
  value: ClickHouse: 8-32GB | Druid: N/A
additional property: Minimum Recommended Cluster Size
  type: PropertyValue
  value: ClickHouse: 3-5 nodes | Druid: 10 nodes
  value reference: ClickHouse
additional property: Max Dataset Size (Practical)
  type: PropertyValue
  value: ClickHouse: 1000TB+ (unlimited with tiering) | Druid: N/A
additional property: Query Latency (1B row scan, 10 column aggregate)
  type: PropertyValue
  value: ClickHouse: 50-100ms | Druid: N/A
additional property: Storage Cost (per TB/month)
  type: PropertyValue
  value: ClickHouse: $15-25 | Druid: N/A
additional property: Typical Data Compression Ratio
  type: PropertyValue
  value: ClickHouse: 10-40x | Druid: N/A
additional property: Minimum Cluster Size (nodes)
  type: PropertyValue
  value: ClickHouse: 1 (can run standalone) | Druid: N/A
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/druid
significant link: https://www.aversusb.net/alternatives/druid
significant link: https://www.aversusb.net/api/answer/clickhouse-vs-druid)
significant link: https://www.aversusb.net/api/v1/schema/clickhouse-vs-druid)
related link: https://www.aversusb.net/compare/clickhouse-vs-druid
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/druid-vs-snowflake
related link: https://www.aversusb.net/compare/clickhouse-vs-redshift
related link: https://www.aversusb.net/compare/clickhouse-vs-bigquery
related link: https://www.aversusb.net/compare/clickhouse-vs-redshift)
teaches: How to choose between ClickHouse and Druid
genre: Software

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

A Versus B
type: Organization

ClickHouse
type: SoftwareApplication
alternate name: Clickhouse
language: en-US
description: Distributed column-oriented OLAP database for petabyte-scale analytics
image: ImageObject
  caption: ClickHouse
subject of: ClickHouse vs Druid
image: ImageObject
  caption: ClickHouse

Druid
type: SoftwareApplication
language: en-US
description: Real-time OLAP database for streaming analytics and time-series data
subject of: ClickHouse vs Druid

ClickHouse vs Druid — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for ClickHouse vs Druid. Contains 117 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: P99 Query Latency (1B rows, aggregation)
  type: PropertyValue
  value reference: Performance
variable measured: Ingestion Latency (Kafka to query-ready)
  type: PropertyValue
  value reference: Real-time Capability
variable measured: SQL Compliance Level
  type: PropertyValue
  value reference: Developer Experience
variable measured: Maximum Recommended Node Storage
  type: PropertyValue
  value reference: Scalability
variable measured: Native Streaming Sources
  type: PropertyValue
  value reference: Integration
variable measured: Enterprise Support Availability
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variable measured: Query Latency (1 billion rows)
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  value reference: Performance
variable measured: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value reference: Pricing
variable measured: Ingestion Throughput
  type: PropertyValue
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variable measured: Data Retention for Time-Travel
  type: PropertyValue
  value reference: Features
variable measured: Compression Ratio
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variable measured: Licensing Model
  type: PropertyValue
  value reference: Economics
variable measured: Learning Curve (1-10 scale)
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variable measured: Query Latency (1GB aggregation)
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variable measured: Compression Ratio (typical)
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  value reference: Efficiency
variable measured: Memory Required (minimal)
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  value reference: Resource Usage
variable measured: Ingest Throughput
  type: PropertyValue
  value reference: Throughput
variable measured: Setup Time to First Query
  type: PropertyValue
  value reference: Developer Experience
variable measured: SQL Standard Compliance
  type: PropertyValue
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variable measured: Query Latency (p99)
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variable measured: Ingestion Latency (end-to-end)
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variable measured: Memory Usage per Query
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variable measured: Maximum Cluster Size
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variable measured: Native SQL Support
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variable measured: Multi-tenancy Isolation
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variable measured: Typical Cost per TB/year
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variable measured: Query Latency (100M rows)
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variable measured: Maximum Cluster Nodes
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variable measured: Streaming Integration
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variable measured: Transaction Support
  type: PropertyValue
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variable measured: GitHub Stars (2026)
  type: PropertyValue
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variable measured: Typical Maximum Dataset Size
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variable measured: Idle Memory Usage
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variable measured: Supported Data Formats
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variable measured: Typical Storage Cost
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variable measured: Max Recommended Dataset Size
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variable measured: SQL Feature Completeness
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variable measured: Time-Series Aggregation Support
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variable measured: Max Ingestion Throughput
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variable measured: Storage Cost per TB/month
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variable measured: Typical Node Memory
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variable measured: Minimum Recommended Cluster Size
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variable measured: Max Dataset Size (Practical)
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variable measured: Query Latency (1B row scan, 10 column aggregate)
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variable measured: Storage Cost (per TB/month)
  type: PropertyValue
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variable measured: Typical Data Compression Ratio
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variable measured: Minimum Cluster Size (nodes)
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variable measured: Max Concurrent Queries (default config)
  type: PropertyValue
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variable measured: Data Ingestion Latency
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variable measured: AWS Service Integration (native)
  type: PropertyValue
  value reference: Ecosystem
variable measured: GitHub Stars (as of 2026)
  type: PropertyValue
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variable measured: Query Latency (1 billion rows, simple SELECT)
  type: PropertyValue
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variable measured: Cost per GB Scanned
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variable measured: Maximum Ingestion Rate
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variable measured: Infrastructure Management Overhead
  type: PropertyValue
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variable measured: Minimum Monthly Cost (basic setup)
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variable measured: Cloud Provider Support
  type: PropertyValue
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variable measured: Automatic Scaling Time
  type: PropertyValue
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variable measured: SQL Compatibility
variable measured: Average Query Latency (1 Billion Row Scan)
variable measured: Monthly Cost per TB Stored
variable measured: Time to Production Deployment
variable measured: Maximum Concurrent Queries
variable measured: Uptime SLA Guarantee
variable measured: Native AWS Service Integration
variable measured: Data Ingestion Rate
variable measured: Average Query Latency (1TB dataset)
is based on: https://www.aversusb.net/compare/clickhouse-vs-druid)

ClickHouse vs Druid — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for ClickHouse vs Druid.
has defined term: Performance
has defined term: Real-time Capability
has defined term: Developer Experience
has defined term: Scalability
has defined term: Integration
has defined term: Support & Licensing
has defined term: Pricing
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: Throughput
has defined term: Compatibility
has defined term: Real-time Performance
has defined term: Querying
has defined term: Architecture
has defined term: Community
has defined term: Cost
has defined term: Infrastructure
has defined term: Deployment
has defined term: Storage Efficiency
has defined term: Ecosystem
has defined term: Data Ingestion
has defined term: Operations
has defined term: Setup
has defined term: Reliability
has defined term: Implementation
has defined term: Use Case Fit
has defined term: SQL Support
has defined term: Operational Complexity
has defined term: Setup Speed
has defined term: Resource Requirements
has defined term: Streaming
has defined term: Maturity
has defined term: Licensing
has defined term: Resource Footprint
has defined term: Clustering
has defined term: Adoption
has defined term: Operational Ease
has defined term: Ease of Use
has defined term: Operational

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

Real-time Capability
type: DefinedTerm
term code: real-time-capability
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

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

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

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

Support & Licensing
type: DefinedTerm
term code: support-&-licensing
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Setup
type: DefinedTerm
term code: setup
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

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

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

Use Case Fit
type: DefinedTerm
term code: use-case-fit
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

SQL Support
type: DefinedTerm
term code: sql-support
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

Operational Complexity
type: DefinedTerm
term code: operational-complexity
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

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

Resource Requirements
type: DefinedTerm
term code: resource-requirements
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

Streaming
type: DefinedTerm
term code: streaming
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

Maturity
type: DefinedTerm
term code: maturity
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

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

Resource Footprint
type: DefinedTerm
term code: resource-footprint
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

Clustering
type: DefinedTerm
term code: clustering
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: ClickHouse vs Druid — Attribute Category Vocabulary

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

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

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T14:37:00.989Z
author: A Versus B
publisher: A Versus B
is part of: clickhouse-vs-druid)
main entity: Which database should I use for real-time dashboards?
  type: Question
  accepted answer: Answer
    text: Druid is purpose-built for real-time dashboards with sub-100ms latency on aggregations and native Kafka streaming ingestion. ClickHouse can support dashboards but requires pre-aggregation (materialized views) and has 3-5x higher query latency. For interactive dashboards updating every 1-5 seconds, Druid is the better choice.
    language: en-US
main entity: How much cheaper is ClickHouse on storage?
  type: Question
  accepted answer: Answer
    text: ClickHouse's 20:1 compression ratio vs Druid's 5:1 means you need 4x less storage for equivalent data. For 1TB of raw data, ClickHouse requires ~50GB storage while Druid requires ~200GB. This translates to 70-80% lower cloud storage costs, though Druid's memory requirements for indexing add operational cost.
    language: en-US
main entity: Can I use ClickHouse for time-series data instead of Druid?
  type: Question
  accepted answer: Answer
    text: Yes, ClickHouse excels at time-series storage and historical analysis with ReplicatedMergeTree tables and exceptional compression. However, it's not ideal for real-time dashboards because aggregations take 100-500ms vs Druid's <100ms. Use ClickHouse for time-series data warehousing; use Druid if you need real-time interactivity.
    language: en-US
main entity: Which is easier to deploy and maintain?
  type: Question
  accepted answer: Answer
    text: ClickHouse is simpler operationally with fewer node types and less complex configuration. Druid requires managing Coordinators, Data nodes, Query nodes, and Brokers, making it 2-3x more complex to deploy and maintain. For small teams with DevOps constraints, ClickHouse is significantly easier.
    language: en-US
main entity: Which database integrates better with existing tools?
  type: Question
  accepted answer: Answer
    text: ClickHouse has broader third-party integration support due to standard SQL compliance (JDBC, ODBC, Python, Go drivers). Druid requires specialized adapters. Both work with Grafana and Tableau, but ClickHouse has better support in Apache Superset, Metabase, and traditional BI tools without custom configuration.
    language: en-US

How to Choose Between ClickHouse and Druid
type: HowTo
description: ClickHouse is a column-oriented database optimized for analytical queries with superior compression and query speed, while Druid is a real-time OLAP database designed for time-series data and streaming ingestion with lower latency on aggregations. ClickHouse excels at batch analytics; Druid excels at real-time dashboarding.
language: en-US
total time: PT3M
step: Consider: Primary Use Case
step: Consider: Query Latency (Sub-second aggregations)
step: Consider: Data Compression Ratio
step: Consider: Streaming Ingestion Support
step: Consider: SQL Dialect Support
step: Consider: Cluster Setup Complexity
step: Consider: Memory Footprint per 1TB Data
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose ClickHouse if you need cost-effective analytical data warehousing, superior compression, and batch query performance for historical data analysis. Choose Druid if you need real-time dashboard analytics, sub-100ms latency on aggregations, and streaming data ingestion from Kafka/Kinesis with minimal delay.

Consider: Primary Use Case
type: HowToStep
position: 1
text: Primary Use Case: ClickHouse has Batch OLAP analytics and data warehousing, while Druid has Real-time OLAP and time-series analytics.

Consider: Query Latency (Sub-second aggregations)
type: HowToStep
position: 2
text: Query Latency (Sub-second aggregations): ClickHouse has 100-500ms for typical queries, while Druid has 10-100ms for pre-aggregated data.

Consider: Data Compression Ratio
type: HowToStep
position: 3
text: Data Compression Ratio: ClickHouse has 10:1 to 40:1 (industry-leading), while Druid has 3:1 to 8:1.

Consider: Streaming Ingestion Support
type: HowToStep
position: 4
text: Streaming Ingestion Support: ClickHouse has Kafka/S3 plugins, ~1-5 second latency, while Druid has Native Kafka/Kinesis, sub-second latency.

Consider: SQL Dialect Support
type: HowToStep
position: 5
text: SQL Dialect Support: ClickHouse has Standard SQL with extensions, while Druid has SQL-like, proprietary Druid SQL.

Consider: Cluster Setup Complexity
type: HowToStep
position: 6
text: Cluster Setup Complexity: ClickHouse has Moderate (Keeper/Zookeeper required), while Druid has Higher (Coordinator, Data, Query nodes).

Consider: Memory Footprint per 1TB Data
type: HowToStep
position: 7
text: Memory Footprint per 1TB Data: ClickHouse has 20-50GB (compressed storage), while Druid has 100-200GB (in-memory indexing).

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: ClickHouse vs Druid
review body: ClickHouse is a column-oriented database optimized for analytical queries with superior compression and query speed, while Druid is a real-time OLAP database designed for time-series data and streaming ingestion with lower latency on aggregations. ClickHouse excels at batch analytics; Druid excels at real-time dashboarding.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: ClickHouse vs Druid

Max Concurrent Queries (default config)
type: PropertyValue
value: ClickHouse: Unlimited (resource-based) | Druid: N/A

Data Ingestion Latency
type: PropertyValue
value: ClickHouse: Microseconds to milliseconds | Druid: 100-500ms (real-time)
value reference: ClickHouse

AWS Service Integration (native)
type: PropertyValue
value: ClickHouse: 5-10 (via third-party) | Druid: N/A

GitHub Stars (as of 2026)
type: PropertyValue
value: ClickHouse: 25000+ | Druid: N/A

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

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

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

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

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

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

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

SQL Compatibility
type: PropertyValue
value: ClickHouse: MySQL-compatible with ClickHouse extensions | Druid: Druid SQL (subset of ANSI)

Average Query Latency (1 Billion Row Scan)
type: PropertyValue
value: ClickHouse: 75ms | Druid: N/A

Monthly Cost per TB Stored
type: PropertyValue
value: ClickHouse: $0.09 | Druid: N/A

Time to Production Deployment
type: PropertyValue
value: ClickHouse: 1440 (self-managed) / 60 (managed) | Druid: N/A

Maximum Concurrent Queries
type: PropertyValue
value: ClickHouse: 100,000+ | Druid: N/A

Uptime SLA Guarantee
type: PropertyValue
value: ClickHouse: 99.0% (self-managed) / 99.95% (managed) | Druid: N/A

Native AWS Service Integration
type: PropertyValue
value: ClickHouse: 3 (S3, Kinesis via 3rd party, basic) | Druid: N/A

Data Ingestion Rate
type: PropertyValue
value: ClickHouse: 1-5 | Druid: 1,000,000+ realtime
value reference: Druid

Average Query Latency (1TB dataset)
type: PropertyValue
value: ClickHouse: 85ms | Druid: N/A

Cost per TB Scanned
type: PropertyValue
value: ClickHouse: $0.01 | Druid: N/A

Initial Setup Time
type: PropertyValue
value: ClickHouse: 14 days | Druid: N/A

Max Concurrent Queries (single cluster)
type: PropertyValue
value: ClickHouse: 1,000+ | Druid: N/A

Built-in ML Capabilities
type: PropertyValue
value: ClickHouse: No (third-party integration required) | Druid: N/A

Support for Time-Series Data
type: PropertyValue
value: ClickHouse: Native optimization, ideal for billions of events | Druid: N/A

Enterprise SLA Availability
type: PropertyValue
value: ClickHouse: 99.5% (self-hosted dependent) | Druid: N/A

Peak Ingestion Speed
type: PropertyValue
value: ClickHouse: 100,000-500,000 | Druid: N/A

ANSI SQL Compliance
type: PropertyValue
value: ClickHouse: 95% | Druid: N/A

Deployment Components
type: PropertyValue
value: ClickHouse: 1-2 components | Druid: N/A

Time to First Query
type: PropertyValue
value: ClickHouse: 5-10 minutes | Druid: N/A

Average Query Latency (Standard Aggregation)
type: PropertyValue
value: ClickHouse: 250ms | Druid: 45ms
value reference: Druid

Streaming Ingestion Latency
type: PropertyValue
value: ClickHouse: 2-5 seconds | Druid: 0.1-0.5 seconds
value reference: Druid

Memory Per 1TB Data
type: PropertyValue
value: ClickHouse: 35GB | Druid: 150GB
value reference: ClickHouse

Cluster Node Types Required
type: PropertyValue
value: ClickHouse: Replica, Shard (simplified) | Druid: Coordinator, Data, Query, Broker (4+ types)

Kafka Integration Latency
type: PropertyValue
value: ClickHouse: 3-5 seconds (batched) | Druid: 0.2-0.5 seconds (real-time)
value reference: Druid

First Release Year
type: PropertyValue
value: ClickHouse: 2016 (Yandex) | Druid: 2012 (Metamarkets)
value reference: Druid

Setup Time
type: PropertyValue
value: ClickHouse: 30-60 minutes | Druid: N/A

Query Latency (1B rows, COUNT aggregation)
type: PropertyValue
value: ClickHouse: 20-100ms | Druid: N/A

Data Compression Ratio
type: PropertyValue
value: ClickHouse: 10-40x for analytics | Druid: 8:1 to 15:1
value reference: ClickHouse

Operational Complexity
type: PropertyValue
value: ClickHouse: 40-100 (cluster setup) | Druid: N/A

Community Size (GitHub Stars)
type: PropertyValue
value: ClickHouse: 35,000+ stars | Druid: N/A

License Restrictions
type: PropertyValue
value: ClickHouse: AGPL - Source disclosure required | Druid: N/A

Maximum Dataset Size
type: PropertyValue
value: ClickHouse: Petabytes (1000+ TB) | Druid: N/A

Typical Query Latency (1TB dataset)
type: PropertyValue
value: ClickHouse: 1-5 seconds | Druid: N/A

Installation Size
type: PropertyValue
value: ClickHouse: 300-500 MB | Druid: N/A

SQL Standard Compatibility
type: PropertyValue
value: ClickHouse: 95% (custom dialect) | Druid: N/A

Multi-node Replication
type: PropertyValue
value: ClickHouse: Native (Zookeeper/Keeper) | Druid: N/A

Query Latency (Typical)
type: PropertyValue
value: ClickHouse: N/A | Druid: 50-200ms

Enterprise Customers (2025)
type: PropertyValue
value: ClickHouse: N/A | Druid: ~400 enterprises

Base Setup Cost (Annual)
type: PropertyValue
value: ClickHouse: N/A | Druid: $50,000-500,000 (infrastructure)

Time to Insight (Complex Query)
type: PropertyValue
value: ClickHouse: N/A | Druid: 0.2 (pre-aggregated metrics)

Maximum Daily Data Volume
type: PropertyValue
value: ClickHouse: N/A | Druid: 500+ TB/day sustainable

Operational Complexity (1-10 scale)
type: PropertyValue
value: ClickHouse: N/A | Druid: 8/10 (high setup & tuning)

Query Latency (Aggregation on 1B rows)
type: PropertyValue
value: ClickHouse: N/A | Druid: ~250ms

Full-Text Search Native Support
type: PropertyValue
value: ClickHouse: N/A | Druid: Limited (no native implementation)

GitHub Community (Stars)
type: PropertyValue
value: ClickHouse: N/A | Druid: 14,000

Minimum Recommended Heap Memory
type: PropertyValue
value: ClickHouse: N/A | Druid: 4-8 GB

Real-Time Ingestion Latency
type: PropertyValue
value: ClickHouse: N/A | Druid: ~10-100ms

Setup Complexity (1-10 scale)
type: PropertyValue
value: ClickHouse: N/A | Druid: 8/10 (complex)

Maximum Single Query Dataset Size
type: PropertyValue
value: ClickHouse: N/A | Druid: 100+ billion

Typical Query Latency (100GB Dataset)
type: PropertyValue
value: ClickHouse: N/A | Druid: 50-500ms

Storage Cost per TB per Month
type: PropertyValue
value: ClickHouse: N/A | Druid: $0.50-$1.00

Typical Setup Time for Production
type: PropertyValue
value: ClickHouse: N/A | Druid: 14-30 days

Data Ingestion Freshness
type: PropertyValue
value: ClickHouse: N/A | Druid: 1-5 seconds

Columnar Compression Ratio
type: PropertyValue
value: ClickHouse: N/A | Druid: 4:1 to 10:1

Maximum Concurrent Queries (Standard Node)
type: PropertyValue
value: ClickHouse: N/A | Druid: 32+ (distributed)

SQL Dialect Compatibility
type: PropertyValue
value: ClickHouse: N/A | Druid: Partial (60-70% ANSI SQL)

Horizontal Scalability
type: PropertyValue
value: ClickHouse: N/A | Druid: Linear scaling with added nodes

SpeakableSpecification
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ClickHouse — Wikipedia
type: CreativeWork

Druid — Wikipedia
type: CreativeWork

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

SQL Compatibility
type: PropertyValue
value reference: Features

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

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

Time to Production Deployment
type: PropertyValue
value reference: Setup

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

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

Cost per TB Scanned
type: PropertyValue
value reference: Pricing

Initial Setup Time
type: PropertyValue
value reference: Implementation

Max Concurrent Queries (single cluster)
type: PropertyValue
value reference: Scalability

Built-in ML Capabilities
type: PropertyValue
value reference: Features

Support for Time-Series Data
type: PropertyValue
value reference: Use Case Fit

Enterprise SLA Availability
type: PropertyValue
value reference: Reliability

Peak Ingestion Speed
type: PropertyValue
value reference: Data Ingestion

ANSI SQL Compliance
type: PropertyValue
value reference: SQL Support

Deployment Components
type: PropertyValue
value reference: Operational Complexity

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

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

Streaming Ingestion Latency
type: PropertyValue
value reference: Real-time Capability

Memory Per 1TB Data
type: PropertyValue
value reference: Resource Requirements

Cluster Node Types Required
type: PropertyValue
value reference: Operational Complexity

Kafka Integration Latency
type: PropertyValue
value reference: Streaming

First Release Year
type: PropertyValue
value reference: Maturity

Setup Time
type: PropertyValue
value reference: Implementation

Query Latency (1B rows, COUNT aggregation)
type: PropertyValue
value reference: Performance

Data Compression Ratio
type: PropertyValue
value reference: Efficiency

Operational Complexity
type: PropertyValue
value reference: Operations

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

License Restrictions
type: PropertyValue
value reference: Licensing

Maximum Dataset Size
type: PropertyValue
value reference: Scalability

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

Installation Size
type: PropertyValue
value reference: Resource Footprint

SQL Standard Compatibility
type: PropertyValue
value reference: Compatibility

Multi-node Replication
type: PropertyValue
value reference: Clustering

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

Query Latency (Aggregation on 1B rows)
type: PropertyValue
value reference: Performance

Full-Text Search Native Support
type: PropertyValue
value reference: Features

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

Minimum Recommended Heap Memory
type: PropertyValue
value reference: Resource Requirements

Real-Time Ingestion Latency
type: PropertyValue
value reference: Performance

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

Maximum Single Query Dataset Size
type: PropertyValue
value reference: Scalability

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