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DBMS > GraphDB vs. JanusGraph vs. Microsoft Azure Data Explorer vs. SQLite vs. TypeDB

System Properties Comparison GraphDB vs. JanusGraph vs. Microsoft Azure Data Explorer vs. SQLite vs. TypeDB

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSQLite  Xexclude from comparisonTypeDB infoformerly named Grakn  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 2017Fully managed big data interactive analytics platformWidely used embeddable, in-process RDBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMS infocolumn orientedRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score5.82
Rank#65  Overall
#37  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score1.01
Rank#202  Overall
#19  Graph DBMS
#92  Relational DBMS
Websitewww.ontotext.comjanusgraph.orgazure.microsoft.com/­services/­data-explorerwww.sqlite.orgtypedb.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­data-explorerwww.sqlite.org/­docs.htmltypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextLinux Foundation; originally developed as Titan by AureliusMicrosoftDwayne Richard HippVaticle
Initial release20002017201920002016
Current release10.4, October 20230.6.3, February 2023cloud service with continuous releases3.45.2  (12 March 2024), March 20242.26.3, January 2024
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0commercialOpen Source infoPublic DomainOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
hostedserver-lessLinux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesFixed schema with schema-less datatypes (dynamic)yes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infonot rigid because of 'dynamic typing' concept.yes
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.nonoyesnono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoKusto Query Language (KQL), SQL subsetyes infoSQL-92 is not fully supportedno
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
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyesYes, possible languages: KQL, Python, Rnono
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesno
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 servicenoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyes infoby using Apache Kafka and Apache Zookeeper
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
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoRelationships in graphsnoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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 ServerAzure Active Directory Authenticationnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerSQLiteTypeDB infoformerly named Grakn
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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