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DBMS > Amazon Aurora vs. Apache Kylin vs. GeoSpock vs. RDF4J vs. Riak TS

System Properties Comparison Amazon Aurora vs. Apache Kylin vs. GeoSpock vs. RDF4J vs. Riak TS

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Kylin  Xexclude from comparisonGeoSpock  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak TS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackSpatial and temporal data processing engine for extreme data scaleRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSRelational DBMSRelational DBMSRDF storeTime Series DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorakylin.apache.orggeospock.comrdf4j.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlkylin.apache.org/­docsrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncGeoSpockSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Open Source, formerly Basho Technologies
Initial release2015201520042015
Current release3.1.0, July 20202.0, September 20193.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaErlang
Server operating systemshostedLinuxhostedLinux
OS X
Unix
Windows
Linux
OS X
Data schemeyesyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyestemporal, categoricalyesrestricted
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)ANSI SQL for query only (using Presto)noyes, limited
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoyesErlang
Triggersyesnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tablenono

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More resources
Amazon AuroraApache KylinGeoSpockRDF4J infoformerly known as SesameRiak TS
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