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DBMS > Google BigQuery vs. Google Cloud Spanner vs. GridDB vs. jBASE vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Google BigQuery vs. Google Cloud Spanner vs. GridDB vs. jBASE vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle BigQuery  Xaus Vergleich ausschliessenGoogle Cloud Spanner  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenjBASE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service with append-only tablesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Scalable in-memory time series database optimized for IoT and Big DataA robust multi-value DBMS comprising development tools and middlewareFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSRelational DBMSTime Series DBMSMultivalue DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleKey-Value Store
Relational 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte58,10
Rang#19  Overall
#13  Relational DBMS
Punkte2,84
Rang#100  Overall
#51  Relational DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte1,49
Rang#156  Overall
#3  Multivalue DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitecloud.google.com/­bigquerycloud.google.com/­spannergriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­data-explorer
Technische Dokumentationcloud.google.com/­bigquery/­docscloud.google.com/­spanner/­docsdocs.griddb.netdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerGoogleGoogleToshiba CorporationRocket Software (früher Zumasys)Microsoft
Erscheinungsjahr20102017201319912019
Aktuelle Version5.1, August 20225.7cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++
Server BetriebssystemegehostetgehostetLinuxAIX
Linux
Windows
gehostet
DatenschemajajajaschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infonumerical, string, blob, geometry, boolean, timestampoptionalja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjaja
Sekundärindizesneinjajaall fields are automatically indexed
SQL infoSupport of SQLjaja infoQuery statements complying to ANSI 2011SQL92, SQL-like TQL (Toshiba Query Language)Embedded SQL for jBASE in BASICKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteRESTful HTTP/JSON APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
SOAP-basiertes API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin JavaScriptneinneinjaYes, possible languages: KQL, Python, R
Triggersneinneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication with 3 replicas for regional instances.Source-Replica Replikationjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infousing Google Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoWeil zur Abfrage von Daten gedachtACID infoStrict serializable isolationACID at container levelACIDnein
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 haltenneinneinjajanein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte (Owner, Writer, Reader) auf Dataset-, Tabellen- und View-Ebene infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAccess rights can be defined down to the item levelAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Google BigQueryGoogle Cloud SpannerGridDBjBASEMicrosoft Azure Data Explorer
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
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Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
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Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
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Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
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Market metricsGitHub trending repository
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Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Weitere Ressourcen
Google BigQueryGoogle Cloud SpannerGridDBjBASEMicrosoft Azure Data Explorer
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