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DBMS > Amazon Aurora vs. EsgynDB vs. GridGain vs. Kingbase vs. TinkerGraph

System Properties Comparison Amazon Aurora vs. EsgynDB vs. GridGain vs. Kingbase vs. TinkerGraph

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonKingbase  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteaws.amazon.com/­rds/­aurorawww.esgyn.cnwww.gridgain.comwww.kingbase.com.cntinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.gridgain.com/­docs/­index.html
DeveloperAmazonEsgynGridGain Systems, Inc.BeiJing KINGBASE Information technologies inc.
Initial release20152015200719992009
Current releaseGridGain 8.5.1V8.0, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava, C++, .NetC and JavaJava
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyesschema-free
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.yesnoyesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesANSI-99 for query and DML statements, subset of DDLStandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
TinkerPop 3
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Groovy
Java
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyesnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
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-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardno

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More resources
Amazon AuroraEsgynDBGridGainKingbaseTinkerGraph
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