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DBMS > Graph Engine vs. Kingbase vs. RavenDB vs. Transbase

System Properties Comparison Graph Engine vs. Kingbase vs. RavenDB vs. Transbase

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonKingbase  Xexclude from comparisonRavenDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMS
Key-value store
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.graphengine.iowww.kingbase.com.cnravendb.netwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.graphengine.io/­docs/­manualravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftBeiJing KINGBASE Information technologies inc.Hibernating RhinosTransaction Software GmbH
Initial release2010199920101987
Current releaseV8.0, August 20215.4, July 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoAGPL version 3, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC and JavaC#C and C++
Server operating systems.NETLinux
Windows
Linux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsSQL-like query language (RQL)yes
APIs and other access methodsRESTful HTTP APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityKingbaseRavenDBTransbase
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