ClickHouse vs DuckDB

Struggling to choose between ClickHouse and DuckDB? Both products offer unique advantages, making it a tough decision.

ClickHouse is a Databases solution with tags like analytics, big-data, sql.

It boasts features such as Column-oriented storage for efficient analytics, SQL support for querying data, Schema-free for flexible data ingestion, Designed for fast ingestion of large data volumes, High performance and scalability with distributed query processing, Real-time analytics with fast query response times, Data compression for reduced storage costs, Open source with Apache 2.0 license and pros including Very fast for analytics queries, Scales to huge data volumes, Flexible schema allows easy data ingestion, Cost-effective due to compression, Active open source community support.

On the other hand, DuckDB is a Development product tagged with sql, database, open-source.

Its standout features include Embedded database - runs within an application, Lightweight - small memory and storage footprint, ANSI SQL support - supports standard SQL syntax, High performance - optimized for analytic queries, Cross platform - runs on Linux, Mac, Windows, ACID compliant - supports transactions, Columnar storage - efficient for analytics, Parallel execution - leverages multiple cores, and it shines with pros like Easy to embed and distribute, Fast query performance, Small resource usage, Standard SQL interface, Open source with permissive license.

Feature	ClickHouse	DuckDB
Overall Score	N/A	N/A
Primary Category	Databases	Development

Product Overview

ClickHouse

Description: ClickHouse is an open-source column-oriented database management system that is focused on fast analytics queries using SQL. It is schema-free and can ingest huge volumes of data very quickly.

DuckDB

Description: DuckDB is an open source SQL database management system that is embedded, lightweight, and easy to use. It supports standard SQL and can run on desktops, servers, or in the cloud.

Key Features Comparison

ClickHouse Features

• Column-oriented storage for efficient analytics
• SQL support for querying data
• Schema-free for flexible data ingestion
• Designed for fast ingestion of large data volumes
• High performance and scalability with distributed query processing
• Real-time analytics with fast query response times
• Data compression for reduced storage costs
• Open source with Apache 2.0 license

DuckDB Features

• Embedded database - runs within an application
• Lightweight - small memory and storage footprint
• ANSI SQL support - supports standard SQL syntax
• High performance - optimized for analytic queries
• Cross platform - runs on Linux, Mac, Windows
• ACID compliant - supports transactions
• Columnar storage - efficient for analytics
• Parallel execution - leverages multiple cores

Pros & Cons Analysis

ClickHouse

Pros

• Very fast for analytics queries
• Scales to huge data volumes
• Flexible schema allows easy data ingestion
• Cost-effective due to compression
• Active open source community support

Cons

• Not ideal for transactional workloads
• Limited ecosystem compared to alternatives
• Steep learning curve for configuration and tuning
• Lacks some enterprise features like BI connectors

DuckDB

Pros

• Easy to embed and distribute
• Fast query performance
• Small resource usage
• Standard SQL interface
• Open source with permissive license

Cons

• Limited ecosystem compared to larger databases
• Not ideal for high concurrency OLTP workloads
• Lacks some advanced SQL features
• Not optimized for extremely large datasets

Pricing Comparison

ClickHouse

• Open Source

DuckDB

• Open Source