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DBMS > Dgraph vs. Immudb vs. JanusGraph vs. Kingbase vs. PostgreSQL

System Properties Comparison Dgraph vs. Immudb vs. JanusGraph vs. Kingbase vs. PostgreSQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonImmudb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKingbase  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSKey-value storeGraph DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitedgraph.iogithub.com/­codenotary/­immudb
immudb.io
janusgraph.orgwww.kingbase.com.cnwww.postgresql.org
Technical documentationdgraph.io/­docsdocs.immudb.iodocs.janusgraph.orgwww.postgresql.org/­docs
DeveloperDgraph Labs, Inc.CodenotaryLinux Foundation; originally developed as Titan by AureliusBeiJing KINGBASE Information technologies inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20162020201719991989 info1989: Postgres, 1996: PostgreSQL
Current release1.2.3, April 20220.6.3, February 2023V8.0, August 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoJavaC and JavaC
Server operating systemsLinux
OS X
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like syntaxnoStandard with numerous extensionsyes infostandard with numerous extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC protocol
PostgreSQL wire protocol
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning (by range, list and hash) and vertical partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoPlanned for future releasesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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DgraphImmudbJanusGraph infosuccessor of TitanKingbasePostgreSQL
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