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DBMS > Dgraph vs. Fujitsu Enterprise Postgres vs. InterSystems Caché vs. JanusGraph vs. PostGIS

System Properties Comparison Dgraph vs. Fujitsu Enterprise Postgres vs. InterSystems Caché vs. JanusGraph vs. PostGIS

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostGIS  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A multi-model DBMS and application serverA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Spatial extension of PostgreSQL
Primary database modelGraph DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitedgraph.iowww.postgresql.fastware.comwww.intersystems.com/­products/­cachejanusgraph.orgpostgis.net
Technical documentationdgraph.io/­docswww.postgresql.fastware.com/­product-manualsdocs.intersystems.comdocs.janusgraph.orgpostgis.net/­documentation
DeveloperDgraph Labs, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyInterSystemsLinux Foundation; originally developed as Titan by Aurelius
Initial release2016199720172005
Current releaseFujitsu Enterprise Postgres 14, January 20222018.1.4, May 20200.6.3, February 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJavaC
Server operating systemsLinux
OS X
Windows
Linux
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsyesyesuser defined functions
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyespartitioning by range, list and by hashnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationSource-replica replicationyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Serveryes infobased on PostgreSQL

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More resources
DgraphFujitsu Enterprise PostgresInterSystems CachéJanusGraph infosuccessor of TitanPostGIS
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