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DBMS > GraphDB vs. Neo4j vs. YugabyteDB

System Properties Comparison GraphDB vs. Neo4j vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonNeo4j  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionEnterprise-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 offeringsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.59
Rank#96  Overall
#7  Graph DBMS
#3  RDF stores
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score2.20
Rank#108  Overall
#53  Relational DBMS
Websitewww.ontotext.comneo4j.comwww.yugabyte.com
Technical documentationgraphdb.ontotext.com/­documentationneo4j.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperOntotextNeo4j, Inc.Yugabyte Inc.
Initial release200020072017
Current release10.4, October 20235.23, August 20242024.2, December 2024
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
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 languageJavaJava, ScalaC and C++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesschema-free and schema-optionaldepending on used data model
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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes, PostgreSQL compatible
APIs and other access methodsGeoSPARQL
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
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes infoUser defined Procedures and Functionsyes infosql, plpgsql, C
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j FabricHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlDefault 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)yes
More information provided by the system vendor
GraphDB infoformer name: OWLIMNeo4jYugabyteDB
News

Simplify Modern Application Development With GraphQL on Neo4j AuraDB
30 April 2025

Text2Cypher: The Impact of Difficult Example Selection
29 April 2025

This Week in Neo4j: MCP, Snowflake, GenAI, GraphRAG and more
26 April 2025

Is a Knowledge Graph a Graph Database?
25 April 2025

Transform Static Risk Assessment Into a Dynamic Data-Driven Strategy
22 April 2025

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More resources
GraphDB infoformer name: OWLIMNeo4jYugabyteDB
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

Semantic Web Company and Ontotext merge to form Graphwise
23 October 2024, Blocks and Files

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
23 October 2024, PR Newswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
18 December 2019, KDnuggets

A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise
28 October 2024, The Recursive

Ontotext and TopQuadrant: A Powerful Partnership for Accelerated Adoption of Graph and Semantic Technologies
17 November 2023, PR Newswire

provided by Google News

3263: How Neo4j and Graph Databases Help Enterprises Make Smarter Decisions
1 May 2025, iHeart

Data Science Firm Neo4j Reportedly Prepping IPO
19 November 2024, PYMNTS.com

How Neo4j Uses Graph Technology With LLMs to Replace SaaS Applications
29 April 2025, Analytics India Magazine

Neo4j Surpasses $200M in Revenue, Accelerates Leadership in GenAI-Driven Graph Technology
19 November 2024, PR Newswire

Discover Graph Databases with Neo4j and PHP
7 November 2024, SitePoint

provided by Google News

YugabyteDB Unveils First Agentic AI Application and Extensible Vector Search For Deploying AI at Scale
8 April 2025, Business Wire

Every Microsecond Counts: YugabyteDB Boosts Performance with Amazon Time Sync | Amazon Web Services
17 February 2025, Amazon Web Services (AWS)

YugaByte review: Planet-scale Cassandra and Redis
13 November 2024, InfoWorld

YugabyteDB evolves into a distributed PostgreSQL database for apps that need resilience and scale
19 September 2024, SiliconANGLE

Yugabyte Announces Sixth Annual Distributed SQL Summit, Unveils Keynote and Lineup of Speakers for November Hybrid Event
3 October 2024, Business Wire

provided by Google News



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