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DBMS > ClickHouse vs. GraphDB vs. Neo4j

System Properties Comparison ClickHouse vs. GraphDB vs. Neo4j

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonNeo4j  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.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score2.59
Rank#96  Overall
#7  Graph DBMS
#3  RDF stores
Score47.91
Rank#20  Overall
#1  Graph DBMS
Websiteclickhouse.comwww.ontotext.comneo4j.com
Technical documentationclickhouse.com/­docsgraphdb.ontotext.com/­documentationneo4j.com/­docs
DeveloperClickhouse Inc.OntotextNeo4j, Inc.
Initial release201620002007
Current releasev24.6.2.17-stable, July 202410.4, October 20235.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, Scala
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free and schema-optional
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.nono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
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
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityyes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeskey based and customnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes
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.Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMNeo4j
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10 May 2025

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7 May 2025

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More resources
ClickHouseGraphDB infoformer name: OWLIMNeo4j
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