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DBMS > Cubrid vs. Google Cloud Firestore vs. Microsoft Azure Data Explorer vs. SingleStore

Vergleich der Systemeigenschaften Cubrid vs. Google Cloud Firestore vs. Microsoft Azure Data Explorer vs. SingleStore

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameCubrid  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessen
KurzbeschreibungCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud 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.Fully managed big data interactive analytics platformMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primäres DatenbankmodellRelational DBMSDocument StoreRelational DBMS infocolumn orientedRelational 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
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,04
Rang#187  Overall
#87  Relational DBMS
Punkte7,36
Rang#53  Overall
#9  Document Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte5,38
Rang#62  Overall
#35  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­firestoreazure.microsoft.com/­services/­data-explorerwww.singlestore.com
Technische Dokumentationcubrid.org/­manualsfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.com
EntwicklerCUBRID Corporation, CUBRID FoundationGoogleMicrosoftSingleStore Inc.
Erscheinungsjahr2008201720192013
Aktuelle Version11.0, Jaenner 2021cloud service with continuous releases8.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0kommerziellkommerziellkommerziell infofree developer edition available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheC, C++, JavaC++, Go
Server BetriebssystemeLinux
Windows
gehostetgehostetLinux info64 bit version required
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)ja
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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjajaall fields are automatically indexedja
SQL infoSupport of SQLjaneinKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keys
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
OLE DB
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Unterstützte ProgrammiersprachenC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresJava Stored Proceduresyes, Firebase Rules & Cloud FunctionsYes, possible languages: KQL, Python, Rja
Triggersjayes, with Cloud Functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoImplicit feature of the cloud serviceSharding infohash partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infostores two copies of each physical data partition on two separate nodes
MapReduce infoBietet ein API für Map/Reduce OperationenneinUsing Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDjaneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja
Berechtigungskonzept infoZugriffskontrollefine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Azure Active Directory AuthenticationFine grained access control via users, groups and roles
Weitere Informationen bereitgestellt vom Systemhersteller
CubridGoogle Cloud FirestoreMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsCustomers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
CubridGoogle Cloud FirestoreMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQL
DB-Engines Blog Posts

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