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DBMS > Google Cloud Firestore vs. Microsoft Azure SQL Database vs. PostgreSQL vs. RDF4J vs. Yaacomo

System Properties Comparison Google Cloud Firestore vs. Microsoft Azure SQL Database vs. PostgreSQL vs. RDF4J vs. Yaacomo

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionCloud 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.Database as a Service offering with high compatibility to Microsoft SQL ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.RDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitefirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.postgresql.orgrdf4j.orgyaacomo.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­azure-sqlwww.postgresql.org/­docsrdf4j.org/­documentation
DeveloperGoogleMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Q2WEB GmbH
Initial release201720101989 info1989: Postgres, 1996: PostgreSQL20042009
Current releaseV1216.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Android
Linux
Windows
Data schemeschema-freeyesyesyes infoRDF Schemasyes
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsnoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyes, with Cloud Functionsyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with always 3 replicas availableSource-replica replication infoother methods possible by using 3rd party extensionsnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess 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-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreMicrosoft Azure SQL Database infoformerly SQL AzurePostgreSQLRDF4J infoformerly known as SesameYaacomo
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