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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenObjectBox  Xaus Vergleich ausschliessenYanza  Xaus Vergleich ausschliessen
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Cloud-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 MobileTime Series DBMS for IoT Applications
Primäres DatenbankmodellWide Column StoreDocument StoreRelational DBMS infocolumn orientedObject oriented DBMSTime Series DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor 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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte14,29
Rang#39  Overall
#6  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,20
Rang#170  Overall
#5  Object oriented DBMS
Websitewww.datastax.com/­products/­datastax-enterprisefirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorerobjectbox.ioyanza.com
Technische Dokumentationdocs.datastax.comfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.io
EntwicklerDataStaxGoogle infoacquired by Google 2014MicrosoftObjectBox LimitedYanza
Erscheinungsjahr20112012201920172015
Aktuelle Version6.8, April 2020cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache License 2.0kommerziell infofree version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein 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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaC und C++
Server BetriebssystemeLinux
OS X
gehostetgehostetAndroid
iOS
Linux
macOS
Windows
Windows
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)jaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLneinKusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Android
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres native APIHTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
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
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Proceduresneinlimited functionality with using 'rules'Yes, possible languages: KQL, Python, Rneinnein
TriggersjaCallbacks are triggered when data changesja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja infoTimer and event based
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"Sharding infoImplicit feature of the cloud servicekeinekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serverkeine
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsjaneinACIDnein
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 haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbaryes, based on authentication and database rulesAzure Active Directory Authenticationjanein
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseFirebase Realtime DatabaseMicrosoft Azure Data ExplorerObjectBoxYanza
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Weitere Ressourcen
Datastax EnterpriseFirebase Realtime DatabaseMicrosoft Azure Data ExplorerObjectBoxYanza
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