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DBMS > CrateDB vs. Firebase Realtime Database vs. GraphDB vs. Microsoft Azure Data Explorer vs. RDF4J

Vergleich der Systemeigenschaften CrateDB vs. Firebase Realtime Database vs. GraphDB vs. Microsoft Azure Data Explorer vs. RDF4J

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCrateDB  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessen
KurzbeschreibungVerteilter Data Store basierend auf LuceneCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Fully managed big data interactive analytics platformRDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.
Primäres DatenbankmodellDocument Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Document StoreGraph DBMS
RDF Store
Relational DBMS infocolumn orientedRDF Store
Sekundäre DatenbankmodelleRelational DBMSDocument 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
Punkte0,71
Rang#227  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#8  Vektor DBMS
Punkte13,64
Rang#39  Overall
#6  Document Stores
Punkte3,25
Rang#91  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,74
Rang#222  Overall
#9  RDF Stores
Websitecratedb.comfirebase.google.com/­products/­realtime-databasewww.ontotext.comazure.microsoft.com/­services/­data-explorerrdf4j.org
Technische Dokumentationcratedb.com/­docsfirebase.google.com/­docs/­databasegraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerrdf4j.org/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerCrateGoogle infoacquired by Google 2014OntotextMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Erscheinungsjahr20132012200020192004
Aktuelle Version10.4, Oktober 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Sourcekommerziellkommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziellOpen Source infoEclipse Distribution License (EDL), v1.0.
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
ImplementierungsspracheJavaJavaJava
Server BetriebssystemeAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportgehostetAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
gehostetLinux
OS X
Unix
Windows
DatenschemaFlexible Schema (defined schema, partial schema, schema free)schemafreischema-free and OWL/RDFS-schema support; RDF shapesFixed schema with schema-less datatypes (dynamic)ja infoRDF Schemas
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTneinneinneinja
Sekundärindizesjajayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesall fields are automatically indexedja
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Unterstützte Programmiersprachen.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
JavaScript
Objective-C
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
PHP
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenlimited functionality with using 'rules'well-defined plugin interfaces; JavaScript server-side extensibilityYes, possible languages: KQL, Python, Rja
TriggersneinCallbacks are triggered when data changesneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenConfigurable replication on table/partition-levelMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoConstraint checkingnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategyjaACIDneinACID infoIsolation abhängig vom verwendeten API
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoIn-memory Storage wird ebenfalls unterstützt
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinnein
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit Benutzeraccountsyes, based on authentication and database rulesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Azure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDBFirebase Realtime DatabaseGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Data ExplorerRDF4J infoformerly known as Sesame
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Metadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsSee CrateDB pricing >
» mehr
GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Neuigkeiten

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Weitere Ressourcen
CrateDBFirebase Realtime DatabaseGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Data ExplorerRDF4J infoformerly known as Sesame
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
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