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DBMS > Amazon Aurora vs. Apache Impala vs. Apache Jena - TDB vs. Drizzle vs. Firebase Realtime Database

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Apache Jena - TDB vs. Drizzle vs. Firebase Realtime Database

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSRelational DBMSRDF storeRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score14.29
Rank#39  Overall
#6  Document stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­products/­realtime-database
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmljena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­docs/­database
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infooriginally developed by HP LabsDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014
Initial release20152013200020082012
Current release4.1.0, June 20224.9.0, July 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache License, Version 2.0Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedLinuxAll OS with a Java VMFreeBSD
Linux
OS X
hosted
Data schemeyesyesyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCJavaC
C++
Java
PHP
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesnolimited functionality with using 'rules'
Triggersyesnoyes infovia event handlerno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoTDB TransactionsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rights for users, groups and roles infobased on Apache Sentry and KerberosAccess control via Jena SecurityPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rules

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More resources
Amazon AuroraApache ImpalaApache Jena - TDBDrizzleFirebase Realtime Database
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