DBMS > ClickHouse vs. RocksDB

System Properties Comparison ClickHouse vs. RocksDB

Please select another system to include it in the comparison.

Our visitors often compare ClickHouse and RocksDB with MongoDB, Redis and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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	14.24
Rank	#43	Overall
	#27	Relational DBMS

Score	4.57
Rank	#87	Overall
	#13	Key-value stores

Website

clickhouse.tech

rocksdb.org

Technical documentation

clickhouse.tech/docs

github.com/facebook/rocksdb/wiki

Developer

Clickhouse Inc.

Facebook, Inc.

Initial release

2016

2013

Current release

v23.1.3.5-stable, February 2023

7.10.2, March 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

BSD

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

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

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, when using the MergeTree engine

SQL

Support of SQL

Close to ANSI SQL

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

C++ API
Java API

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
Scala

3rd party library

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

Transaction concepts

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

yes

Concurrency

Support for concurrent manipulation of data

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

User concepts

Access control

Access rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.