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DBMS > Google Cloud Datastore vs. Google Cloud Firestore vs. GridDB vs. Microsoft Azure Data Explorer vs. Realm

Vergleich der Systemeigenschaften Google Cloud Datastore vs. Google Cloud Firestore vs. GridDB vs. Microsoft Azure Data Explorer vs. Realm

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Datastore  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRealm  Xaus Vergleich ausschliessen
KurzbeschreibungSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformCloud 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.Scalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primäres DatenbankmodellDocument StoreDocument StoreTime Series DBMSRelational DBMS infocolumn orientedDocument Store
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Document Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte7,60
Rang#52  Overall
#9  Document Stores
Websitecloud.google.com/­datastorefirebase.google.com/­products/­firestoregriddb.netazure.microsoft.com/­services/­data-explorerrealm.io
Technische Dokumentationcloud.google.com/­datastore/­docsfirebase.google.com/­docs/­firestoredocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorerrealm.io/­docs
EntwicklerGoogleGoogleToshiba CorporationMicrosoftRealm, acquired by MongoDB in May 2019
Erscheinungsjahr20082017201320192014
Aktuelle Version5.1, August 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellOpen Source
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++
Server BetriebssystemegehostetgehostetLinuxgehostetAndroid
Backend: serverlos
iOS
Windows
DatenschemaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, Details hierjaja infonumerical, string, blob, geometry, boolean, timestampja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesjajajaall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query language (GQL)neinSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-seitige Scripts infoStored Proceduresmit Google App Engineyes, Firebase Rules & Cloud FunctionsneinYes, possible languages: KQL, Python, Rnein inforuns within the applications so server-side scripts are unnecessary
TriggersCallbacks mit Google Apps Engineyes, with Cloud Functionsjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoChange Listeners
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication using PaxosMulti-Source ReplikationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce Operationenja infomittels Google Cloud DataflowUsing Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infovia ReferenceProperties or Ancestor pathsneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsjaACID at container levelneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinja infoIn-Memory realm
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users can be defined per databaseAzure Active Directory Authenticationja
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud DatastoreGoogle Cloud FirestoreGridDBMicrosoft Azure Data ExplorerRealm
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
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Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
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Market metricsGitHub trending repository
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Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Weitere Ressourcen
Google Cloud DatastoreGoogle Cloud FirestoreGridDBMicrosoft Azure Data ExplorerRealm
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