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DBMS > Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. Milvus vs. Percona Server for MongoDB vs. Yanza

Vergleich der Systemeigenschaften Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. Milvus vs. Percona Server for MongoDB vs. Yanza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenPercona Server for MongoDB  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 platformA DBMS designed for efficient storage of vector data and vector similarity searchesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Time Series DBMS for IoT Applications
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedVektor DBMSDocument StoreTime 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte13,60
Rang#39  Overall
#6  Document Stores
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte3,01
Rang#89  Overall
#4  Vektor DBMS
Punkte0,50
Rang#250  Overall
#39  Document Stores
Websitefirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorermilvus.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbyanza.com
Technische Dokumentationfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mddocs.percona.com/­percona-distribution-for-mongodb
EntwicklerGoogle infoacquired by Google 2014MicrosoftPerconaYanza
Erscheinungsjahr20122019201920152015
Aktuelle Versioncloud service with continuous releases2.4.4, Mai 20243.4.10-2.10, November 2017
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoGPL Version 2kommerziell 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.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheC++, GoC++
Server BetriebssystemegehostetgehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxWindows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreischemafrei
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-typesVector, Numeric and Stringjanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesjaall fields are automatically indexedneinjanein
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinneinnein
APIs und andere ZugriffskonzepteAndroid
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIProprietäres Protokoll basierend auf JSONHTTP API
Unterstützte ProgrammiersprachenJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Procedureslimited functionality with using 'rules'Yes, possible languages: KQL, Python, RneinJavaScriptnein
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 serviceShardingShardingkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationkeine
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinjanein
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
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenjaneinneinneinnein
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 haltenneinjaja infovia In-Memory Engine
Berechtigungskonzept infoZugriffskontrolleyes, based on authentication and database rulesAzure Active Directory AuthenticationRole based access control and fine grained access rightsAccess rights for users and rolesnein
Weitere Informationen bereitgestellt vom Systemhersteller
Firebase Realtime DatabaseMicrosoft Azure Data ExplorerMilvusPercona Server for MongoDBYanza
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr

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Weitere Ressourcen
Firebase Realtime DatabaseMicrosoft Azure Data ExplorerMilvusPercona Server for MongoDBYanza
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