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DBMS > Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. ObjectBox vs. Weaviate vs. Yanza

Vergleich der Systemeigenschaften Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. ObjectBox vs. Weaviate vs. Yanza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenObjectBox  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessenYanza  Xaus Vergleich ausschliessen
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Fully managed big data interactive analytics platformExtremely fast embedded database for small devices, IoT and MobileAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedObject oriented DBMSVektor DBMSTime Series DBMS
Sekundäre DatenbankmodelleDocument 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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte15,00
Rang#39  Overall
#6  Document Stores
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte1,22
Rang#172  Overall
#5  Object oriented DBMS
Punkte1,89
Rang#138  Overall
#4  Vektor DBMS
Websitefirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorerobjectbox.iogithub.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technische Dokumentationfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.ioweaviate.io/­developers/­weaviate
EntwicklerGoogle infoacquired by Google 2014MicrosoftObjectBox LimitedWeaviate B.V.Yanza
Erscheinungsjahr20122019201720192015
Aktuelle Versioncloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache License 2.0Open Source infocommercial license available with Weaviate Enterprisekommerziell infofree version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein infobut mainly used as a service provided by Yanza
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++Go
Server BetriebssystemegehostetgehostetAndroid
iOS
Linux
macOS
Windows
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interfaceschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja infostring, int, float, geo point, date, cross reference, fuzzy referencesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesjaall fields are automatically indexedjaja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexednein
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinGraphQL is used as query languagenein
APIs und andere ZugriffskonzepteAndroid
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres native APIGraphQL query language
RESTful HTTP/JSON API
HTTP API
Unterstützte ProgrammiersprachenJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript / TypeScript
Python
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Procedureslimited functionality with using 'rules'Yes, possible languages: KQL, Python, Rneinneinnein
TriggersCallbacks are triggered when data changesja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinja infoTimer and event based
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud servicekeineShardingkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serverjakeine
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja
Berechtigungskonzept infoZugriffskontrolleyes, based on authentication and database rulesAzure Active Directory AuthenticationjaAPI Keys
OpenID Connect Discovery
nein
Weitere Informationen bereitgestellt vom Systemhersteller
Firebase Realtime DatabaseMicrosoft Azure Data ExplorerObjectBoxWeaviateYanza
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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Neuigkeiten

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13. Juni 2023

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Weitere Ressourcen
Firebase Realtime DatabaseMicrosoft Azure Data ExplorerObjectBoxWeaviateYanza
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
12. Dezember 2019, Paul Andlinger

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Weaviate, an ANN Database with CRUD support
2. Februar 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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