DBMS > ClickHouse vs. SQLite vs. Tkrzw

System Properties Comparison ClickHouse vs. SQLite vs. Tkrzw

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Editorial information provided by DB-Engines

Name

Description

A 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.

Widely used embeddable, in-process RDBMS

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Relational DBMS

Key-value store

Secondary database models

Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	18.77
Rank	#31	Overall
	#19	Relational DBMS

Score	117.77
Rank	#10	Overall
	#7	Relational DBMS

Score	0.00
Rank	#385	Overall
	#61	Key-value stores

Website

clickhouse.com

www.sqlite.org

dbmx.net/tkrzw

Technical documentation

clickhouse.com/docs

www.sqlite.org/docs.html

Developer

Clickhouse Inc.

Dwayne Richard Hipp

Mikio Hirabayashi

Initial release

2016

2000

2020

Current release

v24.6.2.17-stable, July 2024

3.46.1 (13 August 2024), August 2024

0.9.3, August 2020

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Public Domain

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

FreeBSD
Linux
macOS

server-less

Linux
macOS

Data scheme

yes

dynamic column types

schema-free

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

Close to ANSI SQL (SQL/JSON + extensions)

yes

SQL-92 is not fully supported

APIs and other access methods

gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Rust
Scala

3rd party library

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

key based and custom

none

Replication methods

Methods for redundantly storing data on multiple nodes

Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

via file-system locks

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using specific database classes

User concepts

Access control

Access 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.

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More resources

DB-Engines blog posts

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

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Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

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Recent citations in the news

Snowflake Challenger ClickHouse Targets $6 Billion Valuation
9 May 2025, The Information

Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History
29 January 2025, wiz.io

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10 May 2025, Phoronix

DeepSeek Exposed Database Leaks Sensitive Data
30 January 2025, Infosecurity Magazine

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

provided by Google News

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26 September 2024, The Cloudflare Blog

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10 May 2025, Phoronix

SQLite re-implemented in Rust to achieve asynchronous I/O and other changes
12 December 2024, devclass

How to install SQLite on Windows
20 October 2024, theserverside.com

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4 November 2024, The Hacker News

provided by Google News

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