DuckDB vs ClickHouse
type: Article
description: DuckDB is an in-process OLAP database optimized for analytical queries on local datasets with minimal setup, while ClickHouse is a distributed columnar database designed for large-scale, high-throughput analytics across multiple servers. DuckDB excels in simplicity and embedded use cases; ClickHouse dominates in handling massive data volumes and complex distributed queries.
language: en-US
date published: 2026-07-09T15:31:23.133Z
date created: 2026-07-09T15:31:23.133Z
date modified: 2026-07-09T15:31:23.186Z
content reference time: 2026-07-09T15:31:23.186Z
author: A Versus B
publisher: A Versus B
about: DuckDB
about: ClickHouse
abstract: DuckDB is an in-process OLAP database optimized for analytical queries on local datasets with minimal setup, while ClickHouse is a distributed columnar database designed for large-scale, high-throughput analytics across multiple servers. DuckDB excels in simplicity and embedded use cases; ClickHouse dominates in handling massive data volumes and complex distributed queries.
text: Deployment Model. Setup Complexity. Query Performance at 10GB. Maximum Practical Dataset Size. SQL Dialect Compatibility. License. Operational Overhead
conclusion text: Choose DuckDB if you need a lightweight, easy-to-deploy analytical database for datasets under 1TB, embedded analytics in applications, or rapid prototyping without infrastructure overhead. Choose ClickHouse if you're processing petabyte-scale data, require distributed query execution across dozens of nodes, need sub-second response times on massive aggregations, and have the operational expertise to manage a cluster.
additional property: Maximum Cluster Size
  type: PropertyValue
  value: DuckDB: 1 (single machine) | ClickHouse: 100+
  value reference: ClickHouse
additional property: Query Latency (1GB aggregation)
  type: PropertyValue
  value: DuckDB: 10-50ms | ClickHouse: 500-2000ms
  value reference: DuckDB
additional property: Compression Ratio (typical)
  type: PropertyValue
  value: DuckDB: 4:1 to 8:1 | ClickHouse: 10:1 to 40:1
  value reference: ClickHouse
additional property: Memory Required (minimal)
  type: PropertyValue
  value: DuckDB: 10-50MB | ClickHouse: 500-2000MB
  value reference: DuckDB
additional property: Ingest Throughput
  type: PropertyValue
  value: DuckDB: 100K-500K single machine | ClickHouse: 1M+ with batching
  value reference: ClickHouse
additional property: SQL Standard Compliance
  type: PropertyValue
  value: DuckDB: 95% standard SQL | ClickHouse: 70% standard SQL
  value reference: DuckDB
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: DuckDB: 18,500+ | ClickHouse: 35,000+
  value reference: ClickHouse
additional property: Aggregation Query Time (1 billion rows)
  type: PropertyValue
  value: DuckDB: 0.5-2 seconds | ClickHouse: N/A
additional property: Memory Usage (1TB analytical dataset)
  type: PropertyValue
  value: DuckDB: 10-50 GB | ClickHouse: N/A
additional property: ACID Compliance Level
  type: PropertyValue
  value: DuckDB: Partial (batch insert-optimized) | ClickHouse: N/A
additional property: Concurrent Write Support
  type: PropertyValue
  value: DuckDB: Single-threaded writes only | ClickHouse: N/A
additional property: Years in Production
  type: PropertyValue
  value: DuckDB: 5 years (since 2019) | ClickHouse: N/A
additional property: Native Format Support
  type: PropertyValue
  value: DuckDB: Parquet, CSV, JSON, Iceberg, Hugging Face | ClickHouse: N/A
additional property: Database File Size Limit
  type: PropertyValue
  value: DuckDB: Unlimited | ClickHouse: N/A
additional property: Production Deployments (Estimated)
  type: PropertyValue
  value: DuckDB: Growing (100K+) | ClickHouse: N/A
additional property: Typical Maximum Dataset Size
  type: PropertyValue
  value: DuckDB: ~100 GB | ClickHouse: ~1,000,000+ GB (1+ PB)
  value reference: ClickHouse
additional property: Query Latency (100M rows, simple aggregation)
  type: PropertyValue
  value: DuckDB: 50-200ms | ClickHouse: 500-1500ms
  value reference: DuckDB
additional property: Idle Memory Usage
  type: PropertyValue
  value: DuckDB: 50-100 MB | ClickHouse: 500-2000 MB
  value reference: DuckDB
additional property: Supported Data Formats
  type: PropertyValue
  value: DuckDB: 12+ formats | ClickHouse: 12+ formats (TSV, Native, Avro, Protobuf, etc.)
additional property: Typical Query Latency (1GB dataset)
  type: PropertyValue
  value: DuckDB: 50-200ms | ClickHouse: N/A
additional property: Maximum Practical Data Size
  type: PropertyValue
  value: DuckDB: 1,000 | ClickHouse: N/A
additional property: Memory Required Per Query
  type: PropertyValue
  value: DuckDB: 10-50MB | ClickHouse: N/A
additional property: Setup Time for Basic Analytics
  type: PropertyValue
  value: DuckDB: 1-5 minutes | ClickHouse: N/A
additional property: Primary Language Support
  type: PropertyValue
  value: DuckDB: Python, SQL, C++, R, Julia, Node.js | ClickHouse: N/A
additional property: Query Latency (1GB CSV)
  type: PropertyValue
  value: DuckDB: 150-500ms | ClickHouse: N/A
additional property: Maximum Scalable Dataset Size
  type: PropertyValue
  value: DuckDB: 10-50 | ClickHouse: N/A
additional property: Setup Time (from scratch)
  type: PropertyValue
  value: DuckDB: 2-5 (local install) | ClickHouse: N/A
additional property: Multi-machine Distributed Computing
  type: PropertyValue
  value: DuckDB: Not supported | ClickHouse: N/A
additional property: Fault Tolerance
  type: PropertyValue
  value: DuckDB: No (single machine) | ClickHouse: N/A
additional property: Aggregation Query Speed (10M rows)
  type: PropertyValue
  value: DuckDB: 2.3s | ClickHouse: N/A
additional property: Memory Usage (1GB dataset)
  type: PropertyValue
  value: DuckDB: 450MB | ClickHouse: N/A
additional property: SQL Standard Coverage
  type: PropertyValue
  value: DuckDB: 95% | ClickHouse: N/A
additional property: ACID Transactions
  type: PropertyValue
  value: DuckDB: Fully supported | ClickHouse: N/A
additional property: Core Language
  type: PropertyValue
  value: DuckDB: C++ (Rust bindings available) | ClickHouse: N/A
additional property: Language Bindings Supported
  type: PropertyValue
  value: DuckDB: 5 (Python, R, Java, Node.js, Go) | ClickHouse: N/A
additional property: Latest Stable Version
  type: PropertyValue
  value: DuckDB: v0.10.0 (2024) | ClickHouse: N/A
additional property: Total Cost of Ownership (Annual, 100TB dataset)
  type: PropertyValue
  value: DuckDB: $0 | ClickHouse: N/A
additional property: Setup Time to First Query
  type: PropertyValue
  value: DuckDB: < 1 minute | ClickHouse: 30-120 minutes
  value reference: DuckDB
additional property: Query Latency (10GB dataset, simple aggregate)
  type: PropertyValue
  value: DuckDB: 0.3 seconds | ClickHouse: N/A
additional property: Query Latency (1TB dataset, complex join)
  type: PropertyValue
  value: DuckDB: 3-5 seconds | ClickHouse: N/A
additional property: Maximum Supported Dataset Size
  type: PropertyValue
  value: DuckDB: 2 TB (local) | ClickHouse: N/A
additional property: Concurrent User Queries
  type: PropertyValue
  value: DuckDB: 1-5 simultaneous | ClickHouse: N/A
additional property: Built-in Machine Learning Capabilities
  type: PropertyValue
  value: DuckDB: No (requires external integration) | ClickHouse: N/A
additional property: GitHub Stars (Community Traction)
  type: PropertyValue
  value: DuckDB: 18,500+ | ClickHouse: N/A
additional property: Setup Time (Minutes)
  type: PropertyValue
  value: DuckDB: 5-10 | ClickHouse: N/A
additional property: Query Latency on 1GB Dataset
  type: PropertyValue
  value: DuckDB: 10-50 | ClickHouse: N/A
additional property: Minimum Cluster Nodes Required
  type: PropertyValue
  value: DuckDB: 1 | ClickHouse: N/A
additional property: Real-time Streaming Ingestion
  type: PropertyValue
  value: DuckDB: Batch-focused only | ClickHouse: N/A
additional property: Concurrent Queries Supported
  type: PropertyValue
  value: DuckDB: Limited by single machine | ClickHouse: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/duckdb
significant link: https://www.aversusb.net/alternatives/duckdb
significant link: https://www.aversusb.net/entity/clickhouse
significant link: https://www.aversusb.net/alternatives/clickhouse
significant link: https://www.aversusb.net/api/answer/duckdb-vs-clickhouse)
significant link: https://www.aversusb.net/api/v1/schema/duckdb-vs-clickhouse)
related link: https://www.aversusb.net/compare/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
teaches: How to choose between DuckDB and ClickHouse
genre: Software

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

A Versus B
type: Organization

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: DuckDB vs ClickHouse
image: ImageObject
  caption: DuckDB

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: DuckDB vs ClickHouse
image: ImageObject
  caption: ClickHouse

DuckDB vs ClickHouse — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for DuckDB vs ClickHouse. 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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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
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  encoding format: application/json
variable measured: Maximum Cluster Size
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variable measured: Query Latency (1GB aggregation)
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variable measured: Compression Ratio (typical)
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variable measured: Memory Required (minimal)
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variable measured: SQL Standard Compliance
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variable measured: GitHub Stars (2026)
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variable measured: Aggregation Query Time (1 billion rows)
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variable measured: Memory Usage (1TB analytical dataset)
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variable measured: ACID Compliance Level
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variable measured: Concurrent Write Support
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variable measured: Years in Production
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variable measured: Native Format Support
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variable measured: Idle Memory Usage
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variable measured: Supported Programming Languages
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variable measured: Annual Infrastructure Cost (1TB dataset)
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variable measured: Query Performance on 10GB Parquet File (GROUP BY aggregation)
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variable measured: Startup/Import Time
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variable measured: Stack Overflow Questions (as of 2026)
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variable measured: SQL Window Function Support
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variable measured: Time to Analyze 100MB CSV (end-to-end)
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variable measured: Base Monthly Cost
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variable measured: Free Tier Storage
variable measured: Free Tier Row Reads/Month
variable measured: Global Edge Locations
variable measured: OLAP Query Speed (1GB dataset)
variable measured: Replication Latency
variable measured: Supported Languages
variable measured: Installation Required
variable measured: Setup Time (fresh install to first query)
variable measured: Minimum Memory Requirement
is based on: https://www.aversusb.net/compare/duckdb-vs-clickhouse)

DuckDB vs ClickHouse — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for DuckDB vs ClickHouse.
has defined term: Scalability
has defined term: Performance
has defined term: Efficiency
has defined term: Resource Usage
has defined term: Throughput
has defined term: Compatibility
has defined term: Community
has defined term: Resource Efficiency
has defined term: Reliability
has defined term: Concurrency
has defined term: Maturity
has defined term: Features
has defined term: Adoption
has defined term: Ease of Use
has defined term: Architecture
has defined term: Feature Completeness
has defined term: Data Integrity
has defined term: Implementation
has defined term: Ecosystem
has defined term: Development
has defined term: Cost
has defined term: Developer Experience
has defined term: Infrastructure
has defined term: Integration
has defined term: API Completeness
has defined term: Community Support
has defined term: SQL Features
has defined term: Workflow Speed
has defined term: Pricing
has defined term: Quotas
has defined term: Localization
has defined term: Convenience
has defined term: Operational
has defined term: Resources
has defined term: Learning
has defined term: Query Language
has defined term: Usability
has defined term: Setup
has defined term: Licensing
has defined term: Resource Footprint
has defined term: Clustering
has defined term: Operations
has defined term: Real-time Capability
has defined term: Support & Licensing
has defined term: Storage
has defined term: Economics
has defined term: Real-time Performance
has defined term: Querying
has defined term: Deployment
has defined term: Storage Efficiency
has defined term: Data Ingestion
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Convenience
type: DefinedTerm
term code: convenience
in defined term set: DuckDB vs ClickHouse — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T15:31:23.186Z
author: A Versus B
publisher: A Versus B
is part of: duckdb-vs-clickhouse)
main entity: When should I choose DuckDB over ClickHouse?
  type: Question
  accepted answer: Answer
    text: Choose DuckDB if your dataset is under 1TB, you need zero operational overhead, you want a database that embeds directly in your application with no separate server infrastructure, or you're building data analysis tools for Python/R/JavaScript environments. DuckDB is ideal for data scientists, analysts working with local datasets, and teams prioritizing simplicity over distributed scale.
    language: en-US
main entity: Can DuckDB handle real-time data ingestion like ClickHouse?
  type: Question
  accepted answer: Answer
    text: DuckDB supports data ingestion but is optimized for analytical queries on static or batch-loaded datasets. ClickHouse excels at real-time event streaming with insert rates of 1M+ rows per second, native Kafka integration, and built-in data replication. For real-time analytics at scale (>100K events/second), ClickHouse is the better choice.
    language: en-US
main entity: What are the licensing implications of using ClickHouse commercially?
  type: Question
  accepted answer: Answer
    text: ClickHouse is licensed under AGPL v3, which requires that any modifications or derivative works using ClickHouse must publish their source code. Organizations can: (1) use ClickHouse unmodified under AGPL, (2) purchase a commercial license from ClickHouse Inc. to use proprietary modifications, or (3) use DuckDB's MIT license if source code privacy is critical. Many enterprises choose the commercial license to avoid AGPL obligations.
    language: en-US
main entity: How do query languages differ between DuckDB and ClickHouse?
  type: Question
  accepted answer: Answer
    text: DuckDB uses standard SQL with PostgreSQL extensions, making it nearly 100% compatible with PostgreSQL syntax and allowing easy migration. ClickHouse uses ClickHouse SQL, a custom dialect with extensions like specialized aggregation functions (quantiles, groupArrayInsertAt) and lacks some standard features (common table expressions with limited support). Teams familiar with PostgreSQL will find DuckDB's SQL more intuitive, while ClickHouse's SQL is more powerful for specific analytics use cases.
    language: en-US
main entity: Which database is better for machine learning preprocessing?
  type: Question
  accepted answer: Answer
    text: DuckDB integrates seamlessly with Python/R/Arrow ecosystems, making it superior for ML preprocessing pipelines. It has native support for DuckDB-Arrow format, Parquet files, and Python UDFs. ClickHouse requires additional ETL steps to export data for ML. For ML workflows, DuckDB is the clear choice due to its tight integration with data science tools and zero operational friction.
    language: en-US

How to Choose Between DuckDB and ClickHouse
type: HowTo
description: DuckDB is an in-process OLAP database optimized for analytical queries on local datasets with minimal setup, while ClickHouse is a distributed columnar database designed for large-scale, high-throughput analytics across multiple servers. DuckDB excels in simplicity and embedded use cases; ClickHouse dominates in handling massive data volumes and complex distributed queries.
language: en-US
total time: PT3M
step: Consider: Deployment Model
step: Consider: Setup Complexity
step: Consider: Query Performance at 10GB
step: Consider: Maximum Practical Dataset Size
step: Consider: SQL Dialect Compatibility
step: Consider: License
step: Consider: Operational Overhead
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose DuckDB if you need a lightweight, easy-to-deploy analytical database for datasets under 1TB, embedded analytics in applications, or rapid prototyping without infrastructure overhead. Choose ClickHouse if you're processing petabyte-scale data, require distributed query execution across dozens of nodes, need sub-second response times on massive aggregations, and have the operational expertise to manage a cluster.

Consider: Deployment Model
type: HowToStep
position: 1
text: Deployment Model: DuckDB has Embedded/In-process, while ClickHouse has Distributed cluster-based.

Consider: Setup Complexity
type: HowToStep
position: 2
text: Setup Complexity: DuckDB has Minimal (single file), while ClickHouse has Complex (requires cluster management).

Consider: Query Performance at 10GB
type: HowToStep
position: 3
text: Query Performance at 10GB: DuckDB has < 100ms typical, while ClickHouse has < 50ms typical.

Consider: Maximum Practical Dataset Size
type: HowToStep
position: 4
text: Maximum Practical Dataset Size: DuckDB has Up to 1TB (single machine), while ClickHouse has Petabytes (distributed).

Consider: SQL Dialect Compatibility
type: HowToStep
position: 5
text: SQL Dialect Compatibility: DuckDB has Standard SQL + PostgreSQL extensions, while ClickHouse has ClickHouse SQL + some PostgreSQL compatibility.

Consider: License
type: HowToStep
position: 6
text: License: DuckDB has Open Source (MIT), while ClickHouse has Open Source (AGPL) + Commercial.

Consider: Operational Overhead
type: HowToStep
position: 7
text: Operational Overhead: DuckDB has Minimal (no cluster management), while ClickHouse has High (replication, sharding, monitoring).

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: DuckDB vs ClickHouse
review body: DuckDB is an in-process OLAP database optimized for analytical queries on local datasets with minimal setup, while ClickHouse is a distributed columnar database designed for large-scale, high-throughput analytics across multiple servers. DuckDB excels in simplicity and embedded use cases; ClickHouse dominates in handling massive data volumes and complex distributed queries.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: DuckDB vs ClickHouse

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning Curve (1-10 scale)
type: PropertyValue
value: DuckDB: 7 (requires SQL) | ClickHouse: 7/10 (moderate-hard)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

P99 Query Latency (1B rows, aggregation)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 50-200ms

Ingestion Latency (Kafka to query-ready)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 5-30 seconds

SQL Compliance Level
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Proprietary ANSI-SQL variant

Maximum Recommended Node Storage
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 2-10TB per node

Native Streaming Sources
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Kafka (basic), S3, File

Enterprise Support Availability
type: PropertyValue
value: DuckDB: N/A | ClickHouse: ClickHouse Inc (limited SLAs)

Query Latency (1 billion rows)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 1.2 seconds

Monthly Cost (100 GB compressed)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: $150

Ingestion Throughput
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 1,000,000 events/sec

Data Retention for Time-Travel
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Not native

Compression Ratio
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 8:1-12:1

Licensing Model
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Open-source (free) + optional support

Query Latency (p99)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 200-500ms

Ingestion Latency (end-to-end)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 1000-10000ms

Memory Usage per Query
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 50-200MB

Native SQL Support
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Standard SQL with extensions

Multi-tenancy Isolation
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Limited/requires custom logic

Typical Cost per TB/year
type: PropertyValue
value: DuckDB: N/A | ClickHouse: $800-1500

Ingestion Latency
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 10-60 seconds

Query Latency (100M rows)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 50-500ms

Maximum Cluster Nodes
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 1000+ nodes tested

Streaming Integration
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Limited (Kafka via TableEngine)

Transaction Support
type: PropertyValue
value: DuckDB: N/A | ClickHouse: No ACID (eventual consistency)

Typical Storage Cost
type: PropertyValue
value: DuckDB: N/A | ClickHouse: $20-40

Max Recommended Dataset Size
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 100TB+ efficiently

SQL Feature Completeness
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 95% (PostgreSQL-compatible)

Time-Series Aggregation Support
type: PropertyValue
value: DuckDB: N/A | ClickHouse: Standard SQL; requires manual time bucketing

Max Ingestion Throughput
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 100,000-500,000 events/sec

Storage Cost per TB/month
type: PropertyValue
value: DuckDB: N/A | ClickHouse: $40-60

Typical Node Memory
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 8-32GB

Minimum Recommended Cluster Size
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 3-5 nodes

Max Dataset Size (Practical)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 1000TB+ (unlimited with tiering)

Query Latency (1B row scan, 10 column aggregate)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 50-100ms

Storage Cost (per TB/month)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: $15-25

Typical Data Compression Ratio
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 10-40x

Minimum Cluster Size (nodes)
type: PropertyValue
value: DuckDB: N/A | ClickHouse: 1 (can run standalone)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SpeakableSpecification
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DuckDB — Wikipedia
type: CreativeWork

ClickHouse — Wikipedia
type: CreativeWork

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

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: Convenience

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: 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

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

Stack Overflow Questions Answered
type: PropertyValue
value reference: Community

First Release Year
type: PropertyValue
value reference: Maturity

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

Setup Time
type: PropertyValue
value reference: Implementation

Maximum Dataset Size
type: PropertyValue
value reference: Scalability

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

Data Compression Ratio
type: PropertyValue
value reference: Efficiency

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

License Restrictions
type: PropertyValue
value reference: Licensing

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

Operational Complexity
type: PropertyValue
value reference: Operations

P99 Query Latency (1B rows, aggregation)
type: PropertyValue
value reference: Performance

Ingestion Latency (Kafka to query-ready)
type: PropertyValue
value reference: Real-time Capability

SQL Compliance Level
type: PropertyValue
value reference: Developer Experience

Maximum Recommended Node Storage
type: PropertyValue
value reference: Scalability

Native Streaming Sources
type: PropertyValue
value reference: Integration

Enterprise Support Availability
type: PropertyValue
value reference: Support & Licensing

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

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

Ingestion Throughput
type: PropertyValue
value reference: Performance

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

Compression Ratio
type: PropertyValue
value reference: Storage

Licensing Model
type: PropertyValue
value reference: Economics

Query Latency (p99)
type: PropertyValue
value reference: Performance

Ingestion Latency (end-to-end)
type: PropertyValue
value reference: Real-time Performance

Memory Usage per Query
type: PropertyValue
value reference: Efficiency

Native SQL Support
type: PropertyValue
value reference: Querying

Multi-tenancy Isolation
type: PropertyValue
value reference: Architecture

Typical Cost per TB/year
type: PropertyValue
value reference: Economics

Ingestion Latency
type: PropertyValue
value reference: Performance

Query Latency (100M rows)
type: PropertyValue
value reference: Performance

Maximum Cluster Nodes
type: PropertyValue
value reference: Scalability

Streaming Integration
type: PropertyValue
value reference: Features

Transaction Support
type: PropertyValue
value reference: Features

Typical Storage Cost
type: PropertyValue
value reference: Cost

Max Recommended Dataset Size
type: PropertyValue
value reference: Scalability

SQL Feature Completeness
type: PropertyValue
value reference: Features

Time-Series Aggregation Support
type: PropertyValue
value reference: Features

Max Ingestion Throughput
type: PropertyValue
value reference: Performance

Storage Cost per TB/month
type: PropertyValue
value reference: Pricing

Typical Node Memory
type: PropertyValue
value reference: Infrastructure

Minimum Recommended Cluster Size
type: PropertyValue
value reference: Deployment

Max Dataset Size (Practical)
type: PropertyValue
value reference: Scalability

Query Latency (1B row scan, 10 column aggregate)
type: PropertyValue
value reference: Performance

Storage Cost (per TB/month)
type: PropertyValue
value reference: Cost

Typical Data Compression Ratio
type: PropertyValue
value reference: Storage Efficiency

Minimum Cluster Size (nodes)
type: PropertyValue
value reference: Infrastructure

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

Data Ingestion Latency
type: PropertyValue
value reference: Performance

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

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

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

Cost per GB Scanned
type: PropertyValue
value reference: Pricing

Maximum Ingestion Rate
type: PropertyValue
value reference: Data Ingestion

Infrastructure Management Overhead
type: PropertyValue
value reference: Operations

Minimum Monthly Cost (basic setup)
type: PropertyValue
value reference: Pricing

Cloud Provider Support
type: PropertyValue
value reference: Features

Automatic Scaling Time
type: PropertyValue
value reference: Performance

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