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DBMS > AllegroGraph vs. IBM Db2 Event Store vs. Kingbase

System Properties Comparison AllegroGraph vs. IBM Db2 Event Store vs. Kingbase

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Event Store
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websiteallegrograph.comwww.ibm.com/­products/­db2-event-storewww.kingbase.com.cn
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperFranz Inc.IBMBeiJing KINGBASE Information technologies inc.
Initial release200420171999
Current release8.0, December 20232.0V8.0, August 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C and Java
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no infobulk load of XML files possiblenoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyes infothrough the embedded Spark runtimeStandard with numerous extensions
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphIBM Db2 Event StoreKingbase
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

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3 April 2024

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
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