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DBMS > Amazon Aurora vs. Apache Jena - TDB vs. InfluxDB vs. Sphinx vs. Splice Machine

System Properties Comparison Amazon Aurora vs. Apache Jena - TDB vs. InfluxDB vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  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 metricsOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRDF storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score3.85
Rank#86  Overall
#3  RDF stores
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorajena.apache.org/­documentation/­tdb/­index.htmlwww.influxdata.com/­products/­influxdb-overviewsphinxsearch.comsplicemachine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.influxdata.com/­influxdbsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsSphinx Technologies Inc.Splice Machine
Initial release20152000201320012014
Current release4.9.0, July 20232.7.6, April 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Java
Server operating systemshostedAll OS with a Java VMLinux
OS X infothrough Homebrew
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes infoRDF Schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsnoyes
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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language (SphinxQL)yes
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
Proprietary protocolJDBC
Native Spark Datasource
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesnonoyes infoJava
Triggersyesyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoin enterprise version onlySharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infoin enterprise version onlynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena Securitysimple rights management via user accountsnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon AuroraApache Jena - TDBInfluxDBSphinxSplice Machine
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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