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DBMS > Alibaba Cloud MaxCompute vs. GridDB vs. Kinetica vs. Microsoft Azure Data Explorer vs. Realm

Vergleich der Systemeigenschaften Alibaba Cloud MaxCompute vs. GridDB vs. Kinetica vs. Microsoft Azure Data Explorer vs. Realm

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlibaba Cloud MaxCompute  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenKinetica  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRealm  Xaus Vergleich ausschliessen
KurzbeschreibungMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable in-memory time series database optimized for IoT and Big DataFully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platformA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primäres DatenbankmodellRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSRelational DBMSRelational DBMS infocolumn orientedDocument Store
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Spatial DBMS
Time Series 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
Punkte0,84
Rang#209  Overall
#98  Relational DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte0,66
Rang#234  Overall
#107  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte7,41
Rang#52  Overall
#8  Document Stores
Websitewww.alibabacloud.com/­product/­maxcomputegriddb.netwww.kinetica.comazure.microsoft.com/­services/­data-explorerrealm.io
Technische Dokumentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.griddb.netdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­data-explorerrealm.io/­docs
EntwicklerAlibabaToshiba CorporationKineticaMicrosoftRealm, acquired by MongoDB in May 2019
Erscheinungsjahr20162013201220192014
Aktuelle Version5.1, August 20227.1, August 2021cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziellOpen Source
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++C, C++
Server BetriebssystemegehostetLinuxLinuxgehostetAndroid
Backend: serverlos
iOS
Windows
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja 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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesneinjajaall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query languageSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteFluentd
Flume
MaxCompute Console
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-seitige Scripts infoStored Proceduresuser defined functions infoin Javaneinbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rnein inforuns within the applications so server-side scripts are unnecessary
Triggersneinjaja infotriggers when inserted values for one or more columns fall within a specified rangeja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoChange Listeners
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceShardingShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud serviceSource-Replica ReplikationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce OperationenjaConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID at container levelneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaja infoGPU vRAM or System RAMneinja infoIn-Memory realm
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAccess rights for users can be defined per databaseZugriffsrechte für Benutzer und Rollen auf TabellenebeneAzure Active Directory Authenticationja
Weitere Informationen bereitgestellt vom Systemhersteller
Alibaba Cloud MaxComputeGridDBKineticaMicrosoft Azure Data ExplorerRealm
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
Alibaba Cloud MaxComputeGridDBKineticaMicrosoft Azure Data ExplorerRealm
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