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DBMS > Amazon Aurora vs. Apache Jena - TDB vs. CrateDB vs. Postgres-XL

System Properties Comparison Amazon Aurora vs. Apache Jena - TDB vs. CrateDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonCrateDB  Xexclude from comparisonPostgres-XL  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 frameworkDistributed Database based on LuceneBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRDF storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score2.91
Rank#93  Overall
#3  RDF stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorajena.apache.org/­documentation/­tdb/­index.htmlcratedb.comwww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmljena.apache.org/­documentation/­tdb/­index.htmlcratedb.com/­docswww.postgres-xl.org/­documentation
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsCrate
Initial release2015200020132014 infosince 2012, originally named StormDB
Current release4.9.0, July 20235.8.1, August 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedAll OS with a Java VMAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Data schemeyesyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free)yes
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.yesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes, but no triggers and constraints, and PostgreSQL compatibilityyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyesuser defined functions (Javascript)user defined functions
Triggersyesyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB Transactionsno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 control via Jena Securityrights management via user accountsfine grained access rights according to SQL-standard

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More resources
Amazon AuroraApache Jena - TDBCrateDBPostgres-XL
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