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DBMS > JanusGraph vs. MySQL vs. ObjectBox vs. PostGIS

System Properties Comparison JanusGraph vs. MySQL vs. ObjectBox vs. PostGIS

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMySQL  Xexclude from comparisonObjectBox  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used open source RDBMSLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsSpatial extension of PostgreSQL
Primary database modelGraph DBMSRelational DBMS infoKey/Value like access via memcached APIObject oriented DBMS
Vector DBMS
Spatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitejanusgraph.orgwww.mysql.comgithub.com/­objectbox
objectbox.io
postgis.net
Technical documentationdocs.janusgraph.orgdev.mysql.com/­docdocs.objectbox.iopostgis.net/­documentation
DeveloperLinux Foundation; originally developed as Titan by AureliusOracle infosince 2010, originally MySQL AB, then SunObjectBox Limited
Initial release2017199520172005
Current release0.6.3, February 20238.4.0, April 20244.0 (May 2024)3.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableBindings are released under Apache 2.0 infoApache License 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC and C++C and C++C
Server operating systemsLinux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes
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.noyesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
Proprietary native API
Supported programming languagesClojure
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesyes infoproprietary syntaxnouser defined functions
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Data sync between devices allowing occasional connected databases to work completely offlineyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyes 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.yesnono
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or rolesyesyes infobased on PostgreSQL
More information provided by the system vendor
JanusGraph infosuccessor of TitanMySQLObjectBoxPostGIS
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More resources
JanusGraph infosuccessor of TitanMySQLObjectBoxPostGIS
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Recent citations in the news

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

Compose for JanusGraph arrives on Bluemix
15 September 2017, ibm.com

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4 January 2024, TechRepublic

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ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

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