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DBMS > Amazon Aurora vs. Apache Jena - TDB vs. InfluxDB vs. MonetDB

System Properties Comparison Amazon Aurora vs. Apache Jena - TDB vs. InfluxDB vs. MonetDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMonetDB  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 frameworkDBMS for storing time series, events and metricsA relational database management system that stores data in columns
Primary database modelRelational DBMSRDF storeTime Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.17
Rank#46  Overall
#28  Relational DBMS
Score2.79
Rank#88  Overall
#2  RDF stores
Score20.92
Rank#29  Overall
#1  Time Series DBMS
Score1.71
Rank#120  Overall
#58  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorajena.apache.org/­documentation/­tdb/­index.htmlwww.influxdata.com/­products/­influxdb-overviewwww.monetdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.influxdata.com/­influxdbwww.monetdb.org/­Documentation
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsMonetDB BV
Initial release2015200020132004
Current release3.12.0, May 20191.7.10, February 2020Nov2019-SP1, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemshostedAll OS with a Java VMLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesnoSQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
HTTP API
JSON over UDP
JDBC
native C library infoMAPI library (MonetDB application programming interface)
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
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyesnoyes, in SQL, C, R
Triggersyesyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoin enterprise version onlySharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneselectable replication factor infoin enterprise version onlynone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsnoACID
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.yesyes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena Securitysimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraApache Jena - TDBInfluxDBMonetDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
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Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraApache Jena - TDBInfluxDBMonetDB
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