ClickHouse vs DuckDB
type: Article
description: ClickHouse is a distributed column-store database optimized for massive analytical workloads across clusters, while DuckDB is an embedded analytical database designed for single-machine OLAP queries with minimal setup. ClickHouse scales to petabytes; DuckDB prioritizes simplicity and runs within application processes.
language: en-US
date published: 2026-07-09T18:37:25.886Z
date created: 2026-07-09T18:37:25.886Z
date modified: 2026-07-09T21:40:59.986Z
content reference time: 2026-07-09T21:40:59.986Z
author: A Versus B
publisher: A Versus B
about: ClickHouse
about: DuckDB
abstract: ClickHouse is a distributed column-store database optimized for massive analytical workloads across clusters, while DuckDB is an embedded analytical database designed for single-machine OLAP queries with minimal setup. ClickHouse scales to petabytes; DuckDB prioritizes simplicity and runs within application processes.
text: Deployment Model. Scalability Range. Setup Complexity. Query Speed (1TB dataset). Multi-node Support. SQL Compatibility. Use Case Focus
conclusion text: Choose ClickHouse if you need to analyze terabytes across multiple servers, require high availability, or operate real-time analytics infrastructure at enterprise scale. Choose DuckDB if you need fast local analytics, are building data science workflows, integrating analytical queries into applications, or want zero operational overhead.
additional property: P99 Query Latency (1B rows, aggregation)
  type: PropertyValue
  value: ClickHouse: 50-200ms | DuckDB: N/A
additional property: Ingestion Latency (Kafka to query-ready)
  type: PropertyValue
  value: ClickHouse: 5-30 seconds | DuckDB: N/A
additional property: SQL Compliance Level
  type: PropertyValue
  value: ClickHouse: Proprietary ANSI-SQL variant | DuckDB: N/A
additional property: Maximum Recommended Node Storage
  type: PropertyValue
  value: ClickHouse: 2-10TB per node | DuckDB: N/A
additional property: Native Streaming Sources
  type: PropertyValue
  value: ClickHouse: Kafka (basic), S3, File | DuckDB: N/A
additional property: Enterprise Support Availability
  type: PropertyValue
  value: ClickHouse: ClickHouse Inc (limited SLAs) | DuckDB: N/A
additional property: Query Latency (1 billion rows)
  type: PropertyValue
  value: ClickHouse: 1.2 seconds | DuckDB: N/A
additional property: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value: ClickHouse: $150 | DuckDB: N/A
additional property: Ingestion Throughput
  type: PropertyValue
  value: ClickHouse: 1,000,000 events/sec | DuckDB: N/A
additional property: Data Retention for Time-Travel
  type: PropertyValue
  value: ClickHouse: Not native | DuckDB: N/A
additional property: Compression Ratio
  type: PropertyValue
  value: ClickHouse: 8:1-12:1 | DuckDB: N/A
additional property: Licensing Model
  type: PropertyValue
  value: ClickHouse: Open-source (free) + optional support | DuckDB: N/A
additional property: Learning Curve (1-10 scale)
  type: PropertyValue
  value: ClickHouse: 7/10 (moderate-hard) | DuckDB: 7 (requires SQL)
additional property: Query Latency (1GB aggregation)
  type: PropertyValue
  value: ClickHouse: 500-2000ms | DuckDB: 10-50ms
  value reference: DuckDB
additional property: Compression Ratio (typical)
  type: PropertyValue
  value: ClickHouse: 10:1 to 40:1 | DuckDB: 4:1 to 8:1
  value reference: ClickHouse
additional property: Memory Required (minimal)
  type: PropertyValue
  value: ClickHouse: 500-2000MB | DuckDB: 10-50MB
  value reference: DuckDB
additional property: Ingest Throughput
  type: PropertyValue
  value: ClickHouse: 1M+ with batching | DuckDB: 100K-500K single machine
  value reference: ClickHouse
additional property: Setup Time to First Query
  type: PropertyValue
  value: ClickHouse: 30-120 minutes | DuckDB: < 1 minute
  value reference: DuckDB
additional property: SQL Standard Compliance
  type: PropertyValue
  value: ClickHouse: 70% standard SQL | DuckDB: 95% standard SQL
  value reference: DuckDB
additional property: Query Latency (p99)
  type: PropertyValue
  value: ClickHouse: 200-500ms | DuckDB: N/A
additional property: Ingestion Latency (end-to-end)
  type: PropertyValue
  value: ClickHouse: 1000-10000ms | DuckDB: N/A
additional property: Memory Usage per Query
  type: PropertyValue
  value: ClickHouse: 50-200MB | DuckDB: N/A
additional property: Maximum Cluster Size
  type: PropertyValue
  value: ClickHouse: 100+ | DuckDB: 1 (single machine)
  value reference: ClickHouse
additional property: Native SQL Support
  type: PropertyValue
  value: ClickHouse: Standard SQL with extensions | DuckDB: N/A
additional property: Multi-tenancy Isolation
  type: PropertyValue
  value: ClickHouse: Limited/requires custom logic | DuckDB: N/A
additional property: Typical Cost per TB/year
  type: PropertyValue
  value: ClickHouse: $800-1500 | DuckDB: N/A
additional property: Ingestion Latency
  type: PropertyValue
  value: ClickHouse: 10-60 seconds | DuckDB: N/A
additional property: Query Latency (100M rows)
  type: PropertyValue
  value: ClickHouse: 50-500ms | DuckDB: N/A
additional property: Maximum Cluster Nodes
  type: PropertyValue
  value: ClickHouse: 1000+ nodes tested | DuckDB: N/A
additional property: Streaming Integration
  type: PropertyValue
  value: ClickHouse: Limited (Kafka via TableEngine) | DuckDB: N/A
additional property: Transaction Support
  type: PropertyValue
  value: ClickHouse: No ACID (eventual consistency) | DuckDB: N/A
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: ClickHouse: 35,000+ | DuckDB: 18,500+
  value reference: ClickHouse
additional property: Typical Maximum Dataset Size
  type: PropertyValue
  value: ClickHouse: ~1,000,000+ GB (1+ PB) | DuckDB: ~100 GB
  value reference: ClickHouse
additional property: Idle Memory Usage
  type: PropertyValue
  value: ClickHouse: 500-2000 MB | DuckDB: 50-100 MB
  value reference: DuckDB
additional property: Supported Data Formats
  type: PropertyValue
  value: ClickHouse: 12+ formats (TSV, Native, Avro, Protobuf, etc.) | DuckDB: 12+ formats
additional property: Query Latency (100M rows, simple aggregation)
  type: PropertyValue
  value: ClickHouse: 500-1500ms | DuckDB: 50-200ms
  value reference: DuckDB
additional property: Typical Storage Cost
  type: PropertyValue
  value: ClickHouse: $20-40 | DuckDB: N/A
additional property: Max Recommended Dataset Size
  type: PropertyValue
  value: ClickHouse: 100TB+ efficiently | DuckDB: N/A
additional property: SQL Feature Completeness
  type: PropertyValue
  value: ClickHouse: 95% (PostgreSQL-compatible) | DuckDB: N/A
additional property: Time-Series Aggregation Support
  type: PropertyValue
  value: ClickHouse: Standard SQL; requires manual time bucketing | DuckDB: N/A
additional property: Max Ingestion Throughput
  type: PropertyValue
  value: ClickHouse: 100,000-500,000 events/sec | DuckDB: N/A
additional property: Storage Cost per TB/month
  type: PropertyValue
  value: ClickHouse: $40-60 | DuckDB: N/A
additional property: Typical Node Memory
  type: PropertyValue
  value: ClickHouse: 8-32GB | DuckDB: N/A
additional property: Minimum Recommended Cluster Size
  type: PropertyValue
  value: ClickHouse: 3-5 nodes | DuckDB: N/A
additional property: Max Dataset Size (Practical)
  type: PropertyValue
  value: ClickHouse: 1000TB+ (unlimited with tiering) | DuckDB: N/A
additional property: Query Latency (1B row scan, 10 column aggregate)
  type: PropertyValue
  value: ClickHouse: 50-100ms | DuckDB: N/A
additional property: Storage Cost (per TB/month)
  type: PropertyValue
  value: ClickHouse: $15-25 | DuckDB: N/A
additional property: Typical Data Compression Ratio
  type: PropertyValue
  value: ClickHouse: 10-40x | DuckDB: N/A
additional property: Minimum Cluster Size (nodes)
  type: PropertyValue
  value: ClickHouse: 1 (can run standalone) | DuckDB: 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/duckdb
significant link: https://www.aversusb.net/alternatives/duckdb
significant link: https://www.aversusb.net/api/answer/clickhouse-vs-duckdb)
significant link: https://www.aversusb.net/api/v1/schema/clickhouse-vs-duckdb)
related link: https://www.aversusb.net/compare/clickhouse-vs-duckdb
related link: https://www.aversusb.net/compare/snowflake-vs-clickhouse
related link: https://www.aversusb.net/compare/clickhouse-vs-pinot
related link: https://www.aversusb.net/compare/duckdb-vs-sqlite
related link: https://www.aversusb.net/compare/clickhouse-vs-druid
related link: https://www.aversusb.net/compare/duckdb-vs-spark
related link: https://www.aversusb.net/compare/apache-spark-vs-duckdb
related link: https://www.aversusb.net/compare/duckdb-vs-polars
teaches: How to choose between ClickHouse and DuckDB
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: ClickHouse vs DuckDB — 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 DuckDB
image: ImageObject
  caption: ClickHouse

DuckDB
type: SoftwareApplication
alternate name: Duckdb
language: en-US
description: Embedded analytical SQL database optimized for in-process OLAP queries
image: ImageObject
  caption: DuckDB
subject of: ClickHouse vs DuckDB
image: ImageObject
  caption: DuckDB

ClickHouse vs DuckDB — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for ClickHouse vs DuckDB. Contains 180 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
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  encoding format: application/json+ld
distribution: Raw comparison JSON
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  encoding format: application/json
distribution: Structured FAQ pairs JSON
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  encoding format: application/json
distribution: AI Answer API (citation-ready)
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distribution: Related comparisons JSON
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variable measured: P99 Query Latency (1B rows, aggregation)
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variable measured: Ingestion Latency (Kafka to query-ready)
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variable measured: Maximum Recommended Node Storage
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variable measured: Native Streaming Sources
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variable measured: Monthly Cost (100 GB compressed)
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variable measured: Data Retention for Time-Travel
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variable measured: Compression Ratio
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variable measured: GitHub Stars (as of 2026)
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variable measured: Cloud Provider Support
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variable measured: Automatic Scaling Time
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variable measured: SQL Compatibility
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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-duckdb)

ClickHouse vs DuckDB — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for ClickHouse vs DuckDB.
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: Legal & Cost
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: Economics
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: Community Adoption
has defined term: Data Ingestion
has defined term: Operations
has defined term: Operability
has defined term: Reliability
has defined term: User Experience
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: Resource Efficiency
has defined term: Concurrency
has defined term: Adoption
has defined term: Ease of Use
has defined term: Feature Completeness
has defined term: Data Integrity
has defined term: Implementation
has defined term: Development
has defined term: API Completeness
has defined term: Community Support
has defined term: SQL Features
has defined term: Workflow Speed
has defined term: Quotas
has defined term: Localization
has defined term: Setup
has defined term: Operational
has defined term: Resources
has defined term: Adoption & Community
has defined term: Learning
has defined term: Query Language

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Operability
type: DefinedTerm
term code: operability
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

Concurrency
type: DefinedTerm
term code: concurrency
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

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

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

Feature Completeness
type: DefinedTerm
term code: feature-completeness
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

Data Integrity
type: DefinedTerm
term code: data-integrity
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

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

Development
type: DefinedTerm
term code: development
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

API Completeness
type: DefinedTerm
term code: api-completeness
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

Community Support
type: DefinedTerm
term code: community-support
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

SQL Features
type: DefinedTerm
term code: sql-features
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

Workflow Speed
type: DefinedTerm
term code: workflow-speed
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

Quotas
type: DefinedTerm
term code: quotas
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

Localization
type: DefinedTerm
term code: localization
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

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

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

Resources
type: DefinedTerm
term code: resources
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

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

Learning
type: DefinedTerm
term code: learning
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

Query Language
type: DefinedTerm
term code: query-language
in defined term set: ClickHouse vs DuckDB — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T21:40:59.986Z
author: A Versus B
publisher: A Versus B
is part of: clickhouse-vs-duckdb)
main entity: Can DuckDB replace ClickHouse for my analytics?
  type: Question
  accepted answer: Answer
    text: Only if your dataset is under 1TB and you need single-machine analytics. DuckDB excels at this scale with faster query times and zero setup. ClickHouse is required for multi-TB datasets, distributed systems, or 24/7 real-time ingestion. DuckDB cannot cluster across machines.
    language: en-US
main entity: What's the typical cost difference?
  type: Question
  accepted answer: Answer
    text: DuckDB is free and open-source with no infrastructure costs. ClickHouse is free open-source but requires significant DevOps/infrastructure investment (servers, networking, monitoring). A 3-node ClickHouse cluster costs $500-2,000/month in cloud hosting; DuckDB embedded in an app costs nothing extra.
    language: en-US
main entity: Which has better SQL support?
  type: Question
  accepted answer: Answer
    text: DuckDB wins for SQL compatibility—it follows PostgreSQL standards, making migration easier and supporting more third-party tools. ClickHouse uses a custom SQL dialect that's ~95% standard but requires learning proprietary syntax (e.g., different JOIN mechanics, SETTINGS).
    language: en-US
main entity: Can I migrate from DuckDB to ClickHouse later?
  type: Question
  accepted answer: Answer
    text: Yes, but with caveats. Data exports are straightforward (CSV, Parquet), but you'll need to rewrite queries due to SQL dialect differences. The architecture shift (embedded → distributed) requires application redesign. Migration from ClickHouse to DuckDB is practical only for downsizing datasets.
    language: en-US
main entity: Which is faster for analytics queries?
  type: Question
  accepted answer: Answer
    text: DuckDB is faster on single machines (0.1-2s for 1TB) due to lower overhead. ClickHouse matches this on distributed datasets but adds network latency. For local analysis under 100GB, DuckDB is 2-5x faster. For 100TB+, ClickHouse's parallelization wins.
    language: en-US

How to Choose Between ClickHouse and DuckDB
type: HowTo
description: ClickHouse is a distributed column-store database optimized for massive analytical workloads across clusters, while DuckDB is an embedded analytical database designed for single-machine OLAP queries with minimal setup. ClickHouse scales to petabytes; DuckDB prioritizes simplicity and runs within application processes.
language: en-US
total time: PT3M
step: Consider: Deployment Model
step: Consider: Scalability Range
step: Consider: Setup Complexity
step: Consider: Query Speed (1TB dataset)
step: Consider: Multi-node Support
step: Consider: SQL Compatibility
step: Consider: Use Case Focus
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose ClickHouse if you need to analyze terabytes across multiple servers, require high availability, or operate real-time analytics infrastructure at enterprise scale. Choose DuckDB if you need fast local analytics, are building data science workflows, integrating analytical queries into applications, or want zero operational overhead.

Consider: Deployment Model
type: HowToStep
position: 1
text: Deployment Model: ClickHouse has Distributed server architecture (client-server), while DuckDB has Embedded in-process database.

Consider: Scalability Range
type: HowToStep
position: 2
text: Scalability Range: ClickHouse has Petabyte-scale across clusters, while DuckDB has Single machine (up to available RAM/disk).

Consider: Setup Complexity
type: HowToStep
position: 3
text: Setup Complexity: ClickHouse has Requires cluster management, replication config, while DuckDB has Single file, zero config installation.

Consider: Query Speed (1TB dataset)
type: HowToStep
position: 4
text: Query Speed (1TB dataset): ClickHouse has 1-5 seconds (distributed), while DuckDB has 0.1-2 seconds (single machine).

Consider: Multi-node Support
type: HowToStep
position: 5
text: Multi-node Support: ClickHouse has Native built-in replication and sharding, while DuckDB has Not supported; single-machine only.

Consider: SQL Compatibility
type: HowToStep
position: 6
text: SQL Compatibility: ClickHouse has ClickHouse SQL dialect (95% SQL standard), while DuckDB has PostgreSQL-compatible SQL.

Consider: Use Case Focus
type: HowToStep
position: 7
text: Use Case Focus: ClickHouse has Real-time metrics, logs, time-series at scale, while DuckDB has Local analytics, data science, prototyping.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: ClickHouse vs DuckDB
review body: ClickHouse is a distributed column-store database optimized for massive analytical workloads across clusters, while DuckDB is an embedded analytical database designed for single-machine OLAP queries with minimal setup. ClickHouse scales to petabytes; DuckDB prioritizes simplicity and runs within application processes.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: ClickHouse vs DuckDB

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

Data Ingestion Latency
type: PropertyValue
value: ClickHouse: Microseconds to milliseconds | DuckDB: N/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Data Ingestion Rate
type: PropertyValue
value: ClickHouse: 1-5 | DuckDB: N/A

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

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

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

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

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

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

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

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

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

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

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

Average Query Latency (Standard Aggregation)
type: PropertyValue
value: ClickHouse: 250ms | DuckDB: N/A

Streaming Ingestion Latency
type: PropertyValue
value: ClickHouse: 2-5 seconds | DuckDB: N/A

Memory Per 1TB Data
type: PropertyValue
value: ClickHouse: 35GB | DuckDB: N/A

Cluster Node Types Required
type: PropertyValue
value: ClickHouse: Replica, Shard (simplified) | DuckDB: N/A

Kafka Integration Latency
type: PropertyValue
value: ClickHouse: 3-5 seconds (batched) | DuckDB: N/A

First Release Year
type: PropertyValue
value: ClickHouse: 2016 (Yandex) | DuckDB: 2019
value reference: ClickHouse

Setup Time
type: PropertyValue
value: ClickHouse: 30-60 minutes | DuckDB: < 1 minute
value reference: DuckDB

Query Latency (1B rows, COUNT aggregation)
type: PropertyValue
value: ClickHouse: 20-100ms | DuckDB: 80-150ms
value reference: ClickHouse

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

Operational Complexity
type: PropertyValue
value: ClickHouse: 40-100 (cluster setup) | DuckDB: 0.5-1 (embed library)
value reference: DuckDB

Community Size (GitHub Stars)
type: PropertyValue
value: ClickHouse: 35,000+ stars | DuckDB: 20,000+ stars
value reference: ClickHouse

License Restrictions
type: PropertyValue
value: ClickHouse: AGPL - Source disclosure required | DuckDB: MIT - No restrictions

Maximum Dataset Size
type: PropertyValue
value: ClickHouse: Petabytes (1000+ TB) | DuckDB: ~1TB (limited by single machine)

Typical Query Latency (1TB dataset)
type: PropertyValue
value: ClickHouse: 1-5 seconds | DuckDB: 0.1-2 seconds
value reference: DuckDB

Installation Size
type: PropertyValue
value: ClickHouse: 300-500 MB | DuckDB: 15-25 MB
value reference: DuckDB

SQL Standard Compatibility
type: PropertyValue
value: ClickHouse: 95% (custom dialect) | DuckDB: 99% (PostgreSQL compatible)
value reference: DuckDB

Multi-node Replication
type: PropertyValue
value: ClickHouse: Native (Zookeeper/Keeper) | DuckDB: Not supported

Aggregation Query Time (1 billion rows)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.5-2 seconds

Memory Usage (1TB analytical dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 10-50 GB

ACID Compliance Level
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Partial (batch insert-optimized)

Concurrent Write Support
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Single-threaded writes only

Years in Production
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 5 years (since 2019)

Native Format Support
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Parquet, CSV, JSON, Iceberg, Hugging Face

Database File Size Limit
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Unlimited

Production Deployments (Estimated)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Growing (100K+)

Typical Query Latency (1GB dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 50-200ms

Maximum Practical Data Size
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1,000

Memory Required Per Query
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 10-50MB

Setup Time for Basic Analytics
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1-5 minutes

Primary Language Support
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Python, SQL, C++, R, Julia, Node.js

Query Latency (1GB CSV)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 150-500ms

Maximum Scalable Dataset Size
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 10-50

Setup Time (from scratch)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2-5 (local install)

Multi-machine Distributed Computing
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Not supported

Fault Tolerance
type: PropertyValue
value: ClickHouse: N/A | DuckDB: No (single machine)

Aggregation Query Speed (10M rows)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2.3s

Memory Usage (1GB dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 450MB

SQL Standard Coverage
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 95%

ACID Transactions
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Fully supported

Core Language
type: PropertyValue
value: ClickHouse: N/A | DuckDB: C++ (Rust bindings available)

Language Bindings Supported
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 5 (Python, R, Java, Node.js, Go)

Latest Stable Version
type: PropertyValue
value: ClickHouse: N/A | DuckDB: v0.10.0 (2024)

Total Cost of Ownership (Annual, 100TB dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: $0

Query Latency (10GB dataset, simple aggregate)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.3 seconds

Query Latency (1TB dataset, complex join)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 3-5 seconds

Maximum Supported Dataset Size
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2 TB (local)

Concurrent User Queries
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1-5 simultaneous

Built-in Machine Learning Capabilities
type: PropertyValue
value: ClickHouse: N/A | DuckDB: No (requires external integration)

GitHub Stars (Community Traction)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 18,500+

Setup Time (Minutes)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 5-10

Query Latency on 1GB Dataset
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 10-50

Minimum Cluster Nodes Required
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1

Real-time Streaming Ingestion
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Batch-focused only

Concurrent Queries Supported
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Limited by single machine

Supported Programming Languages
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Python, R, Java, C++, Node.js, Go

Annual Infrastructure Cost (1TB dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0-5,000

Query Performance on 10GB Parquet File (GROUP BY aggregation)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1.2 seconds

Memory Usage (10GB dataset analysis)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2.1 GB (with compression)

Startup/Import Time
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 45ms (lightweight binary)

Number of Built-in Data Transformation Methods
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 65 SQL functions + standard

Stack Overflow Questions (as of 2026)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 8.2K questions

Maximum Dataset Size (without disk streaming)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1000+ GB (out-of-core)

SQL Window Function Support
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Yes (ROW_NUMBER, LAG, LEAD, RANK, etc.)

Time to Analyze 100MB CSV (end-to-end)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 3.8 seconds

Base Monthly Cost
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Free

Free Tier Storage
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Unlimited (disk-dependent)

Free Tier Row Reads/Month
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Unlimited

Global Edge Locations
type: PropertyValue
value: ClickHouse: N/A | DuckDB: None (local only)

OLAP Query Speed (1GB dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 50-100ms

Replication Latency
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Not supported

Supported Languages
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 7 (Python, Node.js, Go, Rust, R, Java, C++)

Installation Required
type: PropertyValue
value: ClickHouse: N/A | DuckDB: No (embedded library)

Setup Time (fresh install to first query)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2 minutes

Minimum Memory Requirement
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.1GB

Single Query Latency (10GB dataset)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.3 seconds

Maximum Practical Data Scale
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1TB

Supported SQL Features
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 95%

Community Contributors (2025)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 280+ contributors

GitHub Stars
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 22000 stars

Time to Learn (for SQL users)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 4 hours

Ingestion Rate (events/second)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 50,000

Query Latency (1B rows)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.5-2

Maximum Recommended Dataset Size
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1

Deployment Time
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.08

Minimum Cluster Size
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1

Memory Per Node
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2-64 (varies)

Multi-node Support
type: PropertyValue
value: ClickHouse: N/A | DuckDB: No (single-node only)

Real-time Upsert Support
type: PropertyValue
value: ClickHouse: N/A | DuckDB: No (batch only)

Query Speed (1GB CSV aggregation)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 1.2 seconds

Maximum Practical Dataset Size
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 100+ GB

Memory Usage (1GB CSV load)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 200 MB (compressed)

Built-in Statistical Functions
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 200+

SQL Support Level
type: PropertyValue
value: ClickHouse: N/A | DuckDB: Full ANSI SQL + extensions

Stack Overflow Questions Answered
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 3,200

Minimum Hardware Requirements
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 512MB standalone

Query Latency on 100GB Dataset
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.1-0.5 seconds

Memory Usage for 10GB Query
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 0.5-1GB

Time to First Query (fresh install)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 2-5 (download and run)

Number of Supported Languages
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 5 (SQL, Python, R, C++, Go)

Community GitHub Stars (2026)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 21,800+

Query Processing Throughput (GBps)
type: PropertyValue
value: ClickHouse: N/A | DuckDB: 10-100 (vectorized)

SpeakableSpecification
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ClickHouse — Wikipedia
type: CreativeWork

DuckDB — Wikipedia
type: CreativeWork

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

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: Operability

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: User Experience

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: Developer Experience

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

Data Compression Ratio
type: PropertyValue
value reference: Storage 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

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

Memory Usage (1TB analytical dataset)
type: PropertyValue
value reference: Resource Efficiency

ACID Compliance Level
type: PropertyValue
value reference: Reliability

Concurrent Write Support
type: PropertyValue
value reference: Concurrency

Years in Production
type: PropertyValue
value reference: Maturity

Native Format Support
type: PropertyValue
value reference: Features

Database File Size Limit
type: PropertyValue
value reference: Scalability

Production Deployments (Estimated)
type: PropertyValue
value reference: Adoption

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

Maximum Practical Data Size
type: PropertyValue
value reference: Scalability

Memory Required Per Query
type: PropertyValue
value reference: Resource Efficiency

Setup Time for Basic Analytics
type: PropertyValue
value reference: Ease of Use

Primary Language Support
type: PropertyValue
value reference: Compatibility

Query Latency (1GB CSV)
type: PropertyValue
value reference: Performance

Maximum Scalable Dataset Size
type: PropertyValue
value reference: Scalability

Setup Time (from scratch)
type: PropertyValue
value reference: Ease of Use

Multi-machine Distributed Computing
type: PropertyValue
value reference: Architecture

Fault Tolerance
type: PropertyValue
value reference: Reliability

Aggregation Query Speed (10M rows)
type: PropertyValue
value reference: Performance

Memory Usage (1GB dataset)
type: PropertyValue
value reference: Resource Efficiency

SQL Standard Coverage
type: PropertyValue
value reference: Feature Completeness

ACID Transactions
type: PropertyValue
value reference: Data Integrity

Core Language
type: PropertyValue
value reference: Implementation

Language Bindings Supported
type: PropertyValue
value reference: Ecosystem

Latest Stable Version
type: PropertyValue
value reference: Development

Total Cost of Ownership (Annual, 100TB dataset)
type: PropertyValue
value reference: Cost

Query Latency (10GB dataset, simple aggregate)
type: PropertyValue
value reference: Performance

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

Maximum Supported Dataset Size
type: PropertyValue
value reference: Scalability

Concurrent User Queries
type: PropertyValue
value reference: Scalability

Built-in Machine Learning Capabilities
type: PropertyValue
value reference: Features

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

Setup Time (Minutes)
type: PropertyValue
value reference: Ease of Use

Query Latency on 1GB Dataset
type: PropertyValue
value reference: Performance

Minimum Cluster Nodes Required
type: PropertyValue
value reference: Infrastructure

Real-time Streaming Ingestion
type: PropertyValue
value reference: Features

Concurrent Queries Supported
type: PropertyValue
value reference: Performance

Supported Programming Languages
type: PropertyValue
value reference: Compatibility

Annual Infrastructure Cost (1TB dataset)
type: PropertyValue
value reference: Cost

Query Performance on 10GB Parquet File (GROUP BY aggregation)
type: PropertyValue
value reference: Performance

Memory Usage (10GB dataset analysis)
type: PropertyValue
value reference: Resource Efficiency

Startup/Import Time
type: PropertyValue
value reference: Performance

Number of Built-in Data Transformation Methods
type: PropertyValue
value reference: API Completeness

Stack Overflow Questions (as of 2026)
type: PropertyValue
value reference: Community Support

Maximum Dataset Size (without disk streaming)
type: PropertyValue
value reference: Scalability

SQL Window Function Support
type: PropertyValue
value reference: SQL Features

Time to Analyze 100MB CSV (end-to-end)
type: PropertyValue
value reference: Workflow Speed

Base Monthly Cost
type: PropertyValue
value reference: Pricing

Free Tier Storage
type: PropertyValue
value reference: Pricing

Free Tier Row Reads/Month
type: PropertyValue
value reference: Quotas

Global Edge Locations
type: PropertyValue
value reference: Infrastructure

OLAP Query Speed (1GB dataset)
type: PropertyValue
value reference: Performance

Replication Latency
type: PropertyValue
value reference: Performance

Supported Languages
type: PropertyValue
value reference: Localization

Installation Required
type: PropertyValue
value reference: Setup

Setup Time (fresh install to first query)
type: PropertyValue
value reference: Operational

Minimum Memory Requirement
type: PropertyValue
value reference: Resources

Single Query Latency (10GB dataset)
type: PropertyValue
value reference: Performance

Maximum Practical Data Scale
type: PropertyValue
value reference: Scalability

Supported SQL Features
type: PropertyValue
value reference: Features

Community Contributors (2025)
type: PropertyValue
value reference: Community

GitHub Stars
type: PropertyValue
value reference: Adoption & Community

Time to Learn (for SQL users)
type: PropertyValue
value reference: Learning

Ingestion Rate (events/second)
type: PropertyValue
value reference: Performance

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

Maximum Recommended Dataset Size
type: PropertyValue
value reference: Performance

Deployment Time
type: PropertyValue
value reference: Performance

Minimum Cluster Size
type: PropertyValue
value reference: Scalability

Memory Per Node
type: PropertyValue
value reference: Resource Efficiency

Multi-node Support
type: PropertyValue
value reference: Architecture

Real-time Upsert Support
type: PropertyValue
value reference: Features

Query Speed (1GB CSV aggregation)
type: PropertyValue
value reference: Performance

Maximum Practical Dataset Size
type: PropertyValue
value reference: Scalability

Memory Usage (1GB CSV load)
type: PropertyValue
value reference: Efficiency

Built-in Statistical Functions
type: PropertyValue
value reference: Features

SQL Support Level
type: PropertyValue
value reference: Query Language

Stack Overflow Questions Answered
type: PropertyValue
value reference: Community

Minimum Hardware Requirements
type: PropertyValue
value reference: Infrastructure

Query Latency on 100GB Dataset
type: PropertyValue
value reference: Performance

Memory Usage for 10GB Query
type: PropertyValue
value reference: Efficiency

Time to First Query (fresh install)
type: PropertyValue
value reference: Setup

Number of Supported Languages
type: PropertyValue
value reference: Compatibility

Community GitHub Stars (2026)
type: PropertyValue
value reference: Community

Query Processing Throughput (GBps)
type: PropertyValue
value reference: Performance