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DBMS > Amazon Aurora vs. Apache Jena - TDB vs. Impala

System Properties Comparison Amazon Aurora vs. Apache Jena - TDB vs. Impala

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRDF storeRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.47
Rank#44  Overall
#28  Relational DBMS
Score2.84
Rank#102  Overall
#3  RDF stores
Score18.65
Rank#37  Overall
#23  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorajena.apache.org/­documentation/­tdb/­index.htmlwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsCloudera
Initial release201520002013
Current release4.1.0, May 20213.4.0, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyesyesyes infouser defined functions and integration of map-reduce
Triggersyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena SecurityAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Amazon AuroraApache Jena - TDBImpala
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Recent citations in the news

Amazon Aurora Supports PostgreSQL 13
5 September 2021, InfoQ.com

Database Wars: Oracle Attacks Amazon with High-Speed Upgrade
16 September 2021, Cloud Wars

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13 September 2021, The Register

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Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

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29 July 2021, iProgrammer

Cloudera says Impala is faster than Hive, which isn't saying much – Gigaom
13 January 2014, GigaOM

Cloudera's a data warehouse player now
28 August 2018, ZDNet

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24 October 2012, Wired

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