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DBMS > Cubrid vs. Google Cloud Bigtable vs. GridDB vs. Lovefield vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Cubrid vs. Google Cloud Bigtable vs. GridDB vs. Lovefield vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCubrid  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenLovefield  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable in-memory time series database optimized for IoT and Big DataEmbeddable relational database for web apps written in pure JavaScriptFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSKey-Value Store
Wide Column Store
Time Series DBMSRelational 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
Punkte1,31
Rang#169  Overall
#78  Relational DBMS
Punkte3,58
Rang#92  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte2,02
Rang#132  Overall
#11  Time Series DBMS
Punkte0,32
Rang#290  Overall
#132  Relational DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigtablegriddb.netgoogle.github.io/­lovefieldazure.microsoft.com/­services/­data-explorer
Technische Dokumentationcubrid.org/­manualscloud.google.com/­bigtable/­docsdocs.griddb.netgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerCUBRID Corporation, CUBRID FoundationGoogleToshiba CorporationGoogleMicrosoft
Erscheinungsjahr20082015201320142019
Aktuelle Version11.0, Jaenner 20215.1, August 20222.1.12, February 2017cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0kommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, C++, JavaC++JavaScript
Server BetriebssystemeLinux
Windows
gehostetLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarigehostet
DatenschemajaschemafreijajaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinja infonumerical, string, blob, geometry, boolean, timestampjaja 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, XSLTneinneinneinneinja
Sekundärindizesjaneinjajaall fields are automatically indexed
SQL infoSupport of SQLjaneinSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language infovia JavaScript builder patternKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresJava Stored ProceduresneinneinneinYes, possible languages: KQL, Python, R
TriggersjaneinjaUsing read-only observersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationInternal replication in Colossus, and regional replication between two clusters in different zonesSource-Replica Replikationkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaConnector 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 consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDAtomic single-row operationsACID at container levelACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajayes, by using IndexedDB or the cloud service Firebase Realtime Databaseja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjaja infousing MemoryDBnein
Berechtigungskonzept infoZugriffskontrollefine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseneinAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
CubridGoogle Cloud BigtableGridDBLovefieldMicrosoft Azure Data Explorer
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
Market metricsGitHub trending repository
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» mehr

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Weitere Ressourcen
CubridGoogle Cloud BigtableGridDBLovefieldMicrosoft Azure Data Explorer
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