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DBMS > GraphDB vs. JanusGraph vs. Microsoft Azure Cosmos DB vs. MongoDB vs. PostgreSQL

System Properties Comparison GraphDB vs. JanusGraph vs. Microsoft Azure Cosmos DB vs. MongoDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparisonPostgreSQL  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Globally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
Graph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score421.08
Rank#5  Overall
#1  Document stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.ontotext.comjanusgraph.orgazure.microsoft.com/­services/­cosmos-dbwww.mongodb.comwww.postgresql.org
Technical documentationgraphdb.ontotext.com/­documentationdocs.janusgraph.orglearn.microsoft.com/­azure/­cosmos-dbwww.mongodb.com/­docs/­manualwww.postgresql.org/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextLinux Foundation; originally developed as Titan by AureliusMicrosoftMongoDB, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20002017201420091989 info1989: Postgres, 1996: PostgreSQL
Current release10.4, October 20230.6.3, February 20236.0.7, June 202316.3, May 2024
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
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Implementation languageJavaJavaC++C
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
hostedLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infostandard with numerous extensions
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyesJavaScriptJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersnoyesJavaScriptyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoRelationships in graphsnono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
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.User authentification and security via Rexster Graph ServerAccess rights can be defined down to the item levelAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBPostgreSQL
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
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MongoDB provides an integrated suite of cloud database and data services to accelerate...
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Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
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Built around the flexible document data model and unified API, MongoDB is a developer...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
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MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
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