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DBMS > Amazon Aurora vs. AnzoGraph DB vs. EsgynDB vs. GridGain vs. TinkerGraph

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. EsgynDB vs. GridGain vs. TinkerGraph

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographwww.esgyn.cnwww.gridgain.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.gridgain.com/­docs/­index.html
DeveloperAmazonCambridge SemanticsEsgynGridGain Systems, Inc.
Initial release20152018201520072009
Current release2.3, January 2021GridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialcommercialOpen Source infoApache 2.0
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++, JavaJava, C++, .NetJava
Server operating systemshostedLinuxLinuxLinux
OS X
Solaris
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyesschema-free
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.yesnonoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
C++
Java
Python
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyesnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusterMulti-source replication between multi datacentersyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesno infonot needed in graphsyesnoyes 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.yesyesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsno

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More resources
Amazon AuroraAnzoGraph DBEsgynDBGridGainTinkerGraph
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