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DBMS > Amazon Redshift vs. Hive vs. Percona Server for MongoDB vs. RDF4J

System Properties Comparison Amazon Redshift vs. Hive vs. Percona Server for MongoDB vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHive  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsdata warehouse software for querying and managing large distributed datasets, built on HadoopA drop-in replacement for MongoDB Community Edition with enterprise-grade features.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSDocument storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­redshifthive.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrdf4j.org
Technical documentationdocs.aws.amazon.com/­redshiftcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.percona.com/­percona-distribution-for-mongodbrdf4j.org/­documentation
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoinitially developed by FacebookPerconaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201220152004
Current release3.1.3, April 20223.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL Version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Java
Server operating systemshostedAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
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.nono
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
proprietary protocol using JSONJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceJavaScriptyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users and rolesno

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More resources
Amazon RedshiftHivePercona Server for MongoDBRDF4J infoformerly known as Sesame
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