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DBMS > ClickHouse vs. DuckDB vs. Snowflake

System Properties Comparison ClickHouse vs. DuckDB vs. Snowflake

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDuckDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.An embeddable, in-process, column-oriented SQL OLAP RDBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.61
Rank#31  Overall
#19  Relational DBMS
Score6.71
Rank#51  Overall
#31  Relational DBMS
Score161.78
Rank#6  Overall
#5  Relational DBMS
Websiteclickhouse.comduckdb.orgwww.snowflake.com
Technical documentationclickhouse.com/­docsduckdb.org/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperClickhouse Inc.Snowflake Computing Inc.
Initial release201620182014
Current releasev24.6.2.17-stable, July 20241.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsFreeBSD
Linux
macOS
server-lesshosted
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesyes
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeskey based and customnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.noUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
ClickHouseDuckDBSnowflake
DB-Engines blog posts

Snowflake is the Database Management System of the Year 2024
16 January 2025, Tom Russell

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

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Recent citations in the news

Securing Cloud Databases: Best Practices with ClickHouse and Wiz
18 March 2025, Wiz

ClickHouse Acquires HyperDX to Accelerate the Future of Observability
13 March 2025, Business Wire

A Beginner’s Guide to ClickHouse Database
13 September 2024, KDnuggets

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30 January 2025, Infosecurity Magazine

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18 March 2025, AWS Blog

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19 March 2025, DevClass

DeepSeek AI Releases Smallpond: A Lightweight Data Processing Framework Built on DuckDB and 3FS
2 March 2025, MarkTechPost

DuckDB + Webassembly = WhatTheDuck
2 January 2025, iProgrammer

MotherDuck Announces Beta Release of pg_duckdb; Brings DuckDB's Analytics Power to PostgreSQL Users
24 October 2024, PR Newswire

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Snowflake for Applications & Collaboration | AI Data Cloud
17 February 2025, Snowflake

Snowflake founders reveal ‘cuckoo cloud’ vision that disrupted big data
20 March 2025, ComputerWeekly.com

Connect Snowflake to S3 Tables using the SageMaker Lakehouse Iceberg REST endpoint | Amazon Web Services
14 March 2025, AWS Blog

Breaking Silos: Integrating Snowflake and Oracle Autonomous Database with Iceberg Tables
22 January 2025, blogs.oracle.com

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