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DBMS > Amazon Aurora vs. Firebase Realtime Database vs. H2 vs. Solr

System Properties Comparison Amazon Aurora vs. Firebase Realtime Database vs. H2 vs. Solr

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­rds/­aurorafirebase.google.com/­products/­realtime-databasewww.h2database.comsolr.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlsolr.apache.org/­resources.html
DeveloperAmazonGoogle infoacquired by Google 2014Thomas MuellerApache Software Foundation
Initial release2015201220052006
Current release2.2.220, July 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON 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
Java
JavaScript
Objective-C
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'Java Stored Procedures and User-Defined FunctionsJava plugins
TriggersyesCallbacks are triggered when data changesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standardyes

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More resources
Amazon AuroraFirebase Realtime DatabaseH2Solr
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