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DBMS > Amazon Aurora vs. Cubrid vs. Dgraph vs. IBM Db2 Event Store vs. RDFox

System Properties Comparison Amazon Aurora vs. Cubrid vs. Dgraph vs. IBM Db2 Event Store vs. RDFox

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCubrid  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed and scalable native Graph DBMSDistributed Event Store optimized for Internet of Things use casesHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSGraph DBMSEvent Store
Time Series DBMS
Graph DBMS
RDF store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­rds/­auroracubrid.com (korean)
cubrid.org (english)
dgraph.iowww.ibm.com/­products/­db2-event-storewww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlcubrid.org/­manualsdgraph.io/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.oxfordsemantic.tech
DeveloperAmazonCUBRID Corporation, CUBRID FoundationDgraph Labs, Inc.IBMOxford Semantic Technologies
Initial release20152008201620172017
Current release11.0, January 20212.06.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaGoC and C++C++
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Data schemeyesyesschema-freeyesyes infoRDF schemas
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
Java
Server-side scripts infoStored proceduresyesJava Stored Proceduresnoyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSynchronous replication via RaftActive-active shard replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - 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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Amazon AuroraCubridDgraphIBM Db2 Event StoreRDFox
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