DBMS > ClickHouse vs. Neo4j vs. RDF4J

System Properties Comparison ClickHouse vs. Neo4j vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS

Graph DBMS

RDF store

Secondary database models

Time Series DBMS

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

Score	14.97
Rank	#44	Overall
	#28	Relational DBMS

Score	52.77
Rank	#22	Overall
	#1	Graph DBMS

Score	1.25
Rank	#210	Overall
	#8	RDF stores

Website

clickhouse.tech

neo4j.com

rdf4j.org

Technical documentation

clickhouse.tech/docs

neo4j.com/docs

rdf4j.org/documentation

Developer

Clickhouse Inc.

Neo4j, Inc.

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2016

2007

2004

Current release

v23.4.1.1943-stable, April 2023

5.8, May 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPL version3, commercial licenses available

Open Source

Eclipse Distribution License (EDL), v1.0.

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.

Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.

Implementation language

C++

Java, Scala

Java

Server operating systems

FreeBSD
Linux
macOS

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

schema-free and schema-optional

yes

RDF Schemas

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

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

Close to ANSI SQL

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

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

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

Java
PHP
Python

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

yes using Neo4j Fabric

none

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

available in in Enterprise Version only

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

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

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

More information provided by the system vendor

Specific characteristics

Neo4j delivers graph technology that has been battle tested for performance and scale...
» more

Competitive advantages

Neo4j is the market leader, graph database category creator, and the most widely...
» more

Typical application scenarios

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

News

This Week in Neo4j: OSS Dependencies, Workspace, LLM, Streaming Graph Data, and More
3 June 2023

Celebrating Neo4j’s Recognition as a Global Top 100 Most Loved Workplace
31 May 2023

This Week in Neo4j: Advanced Cypher, Data Analysis, Graphyx, GraphQL APIs, and More
27 May 2023

This Week in Neo4j: Bluesky, Process Tempo, GraphGPT, D3.js, Pathfinding, and More
20 May 2023

This Week in Neo4j: Twitch, Generative AI, Star Wars, AWS, ArcGIS, and More
13 May 2023

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

ClickHouse launches ClickHouse Cloud, extends its Series B
6 December 2022, TechCrunch

Aiven launches managed ClickHouse database as a service
13 December 2022, TechTarget

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15 May 2023, hackernoon.com

When you try to hire a freelancer to write SQL and all you get is incorrect AI garbage
9 May 2023, The Register

Why Clickhouse is so fast? The Secret to Its Blazing Fast Performance
14 April 2023, Startup.info

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9 May 2023, CRN Australia

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6 June 2023, openPR

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6 June 2023, TechCrunch

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12 May 2023, ComputerWeekly.com

provided by Google News

Exploring Intelligent Graph and PathQL - DataScienceCentral.com
21 February 2022, Data Science Central

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Intara FAQs
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provided by Google News

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