ClickHouse vs DuckDB
type: WebPage
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
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date published: 2026-07-09T18:37:25.886Z
date created: 2026-07-09T18:37:25.886Z
date modified: 2026-07-09T21:40:59.986Z
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caption: ClickHouse vs DuckDB — Side-by-side comparison on A Versus B

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ClickHouse vs DuckDB
type: Article
type: TechArticle
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.
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
main entity of page: ClickHouse vs DuckDB
content reference time: 2026-07-09T21:40:59.986Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-09T18:37:25.886Z
date created: 2026-07-09T18:37:25.886Z
date modified: 2026-07-09T21:40:59.986Z
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.
genre: Software
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potential action: Compare ClickHouse vs DuckDB
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  target: ClickHouse vs DuckDB
  object: ClickHouse
  object: DuckDB
about: ClickHouse
about: DuckDB
mentions: Deployment Model
mentions: Scalability Range
mentions: Setup Complexity
mentions: Query Speed (1TB dataset)
mentions: Multi-node Support
mentions: SQL Compatibility
mentions: Use Case Focus
related link: https://www.aversusb.net/compare/clickhouse-vs-duckdb
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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
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related link: https://www.aversusb.net/compare/apache-spark-vs-duckdb
related link: https://www.aversusb.net/compare/duckdb-vs-polars
citation: ClickHouse — Wikipedia
citation: DuckDB — Wikipedia
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)
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A Versus B
type: Organization

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

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

ClickHouse vs DuckDB — Comparison Data
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description: Structured comparison data for ClickHouse vs DuckDB with 180 attributes.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
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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
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has defined term: Scalability
has defined term: Integration
has defined term: Support & Licensing
has defined term: Pricing
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has defined term: Storage
has defined term: Legal & Cost
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has defined term: Efficiency
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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

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: 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