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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Spanner vs. Kinetica vs. Microsoft Azure Data Explorer vs. RavenDB

Vergleich der Systemeigenschaften Alibaba Cloud MaxCompute vs. Google Cloud Spanner vs. Kinetica vs. Microsoft Azure Data Explorer vs. RavenDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlibaba Cloud MaxCompute  Xaus Vergleich ausschliessenGoogle Cloud Spanner  Xaus Vergleich ausschliessenKinetica  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRavenDB  Xaus Vergleich ausschliessen
KurzbeschreibungMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA 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.Fully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platformOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primäres DatenbankmodellRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMS infocolumn orientedDocument Store
Sekundäre DatenbankmodelleSpatial 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
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,77
Rang#214  Overall
#98  Relational DBMS
Punkte2,89
Rang#103  Overall
#52  Relational DBMS
Punkte0,64
Rang#236  Overall
#109  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,92
Rang#101  Overall
#18  Document Stores
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­spannerwww.kinetica.comazure.microsoft.com/­services/­data-explorerravendb.net
Technische Dokumentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­spanner/­docsdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­data-explorerravendb.net/­docs
EntwicklerAlibabaGoogleKineticaMicrosoftHibernating Rhinos
Erscheinungsjahr20162017201220192010
Aktuelle Version7.1, August 2021cloud service with continuous releases5.4, Juli 2022
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellkommerziellOpen Source infoAGPL Version 3, kommerzielle Lizenz verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, C++C#
Server BetriebssystemegehostetgehostetLinuxgehostetLinux
macOS
Raspberry Pi
Windows
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)schemafrei
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-typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinja
Sekundärindizesneinjajaall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query languageja infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsKusto Query Language (KQL), SQL subsetSQL-like query language (RQL)
APIs und andere ZugriffskonzepteFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Unterstützte ProgrammiersprachenJavaGo
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-seitige Scripts infoStored Proceduresuser defined functions infoin Javaneinbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rja
Triggersneinneinja infotriggers when inserted values for one or more columns fall within a specified rangeja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud serviceMulti-source replication with 3 replicas for regional instances.Source-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenjaja infousing Google Cloud DataflowneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Fremdschlüssel inforeferenzielle Integritätneinja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID infoStrict serializable isolationneinneinACID, Cluster-wide transaction available
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 haltenneinneinja infoGPU vRAM or System RAMnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Zugriffsrechte für Benutzer und Rollen auf TabellenebeneAzure Active Directory AuthenticationAuthorization levels configured per client per database

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Weitere Ressourcen
Alibaba Cloud MaxComputeGoogle Cloud SpannerKineticaMicrosoft Azure Data ExplorerRavenDB
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