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DBMS > Google Cloud Firestore vs. Interbase vs. Microsoft Azure SQL Database vs. OrigoDB vs. Stardog

System Properties Comparison Google Cloud Firestore vs. Interbase vs. Microsoft Azure SQL Database vs. OrigoDB vs. Stardog

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonStardog  Xexclude from comparison
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.Light-weight proven RDBMS infooriginally from BorlandDatabase as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Graph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.96
Rank#48  Overall
#8  Document stores
Score5.04
Rank#71  Overall
#39  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitefirebase.google.com/­products/­firestorewww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.comwww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docsdocs.stardog.com
DeveloperGoogleEmbarcaderoMicrosoftRobert Friberg et alStardog-Union
Initial release2017198420102009 infounder the name LiveDB2010
Current releaseInterBase 2020, December 2019V127.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C#Java
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
hostedLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nono infoexport as XML data possibleyesno infocan be achieved using .NETno infoImport/export of XML data possible
Secondary indexesyesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoInterbase procedure and trigger languageTransact SQLyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, with Cloud Functionsyesyesyes infoDomain Eventsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInterbase Change Viewsyes, with always 3 replicas availableSource-replica replicationMulti-source replication in HA-Cluster
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 in HA-Cluster
Foreign keys infoReferential integritynoyesyesdepending on modelyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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-standardRole based authorizationAccess rights for users and roles

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More resources
Google Cloud FirestoreInterbaseMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDBStardog
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