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DBMS > Amazon Aurora vs. FoundationDB vs. Google Cloud Firestore vs. MonetDB

System Properties Comparison Amazon Aurora vs. FoundationDB vs. Google Cloud Firestore vs. MonetDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFoundationDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMonetDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonOrdered key-value store. Core features are complimented by layers.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A relational database management system that stores data in columns
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­apple/­foundationdbfirebase.google.com/­products/­firestorewww.monetdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlapple.github.io/­foundationdbfirebase.google.com/­docs/­firestorewww.monetdb.org/­Documentation
DeveloperAmazonFoundationDBGoogleMonetDB BV
Initial release2015201320172004
Current release6.2.28, November 2020Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyessupported in specific SQL layer onlynoyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
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
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesin SQL-layer onlyyes, Firebase Rules & Cloud Functionsyes, in SQL, C, R
Triggersyesnoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
Amazon AuroraFoundationDBGoogle Cloud FirestoreMonetDB
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