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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. HarperDB vs. Microsoft Azure Data Explorer vs. Splice Machine

Vergleich der Systemeigenschaften Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. HarperDB vs. Microsoft Azure Data Explorer vs. Splice Machine

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlibaba Cloud MaxCompute  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenHarperDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSplice Machine  Xaus Vergleich ausschliessen
KurzbeschreibungMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully managed big data interactive analytics platformOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primäres DatenbankmodellRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-Value Store
Wide Column Store
Document 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,84
Rang#209  Overall
#98  Relational DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte0,60
Rang#244  Overall
#38  Document Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,54
Rang#252  Overall
#115  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­bigtablewww.harperdb.ioazure.microsoft.com/­services/­data-explorersplicemachine.com
Technische Dokumentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­bigtable/­docsdocs.harperdb.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorersplicemachine.com/­how-it-works
EntwicklerAlibabaGoogleHarperDBMicrosoftSplice Machine
Erscheinungsjahr20162015201720192014
Aktuelle Version3.1, August 2021cloud service with continuous releases3.1, March 2021
Lizenz infoCommercial or Open Sourcekommerziellkommerziellkommerziell infofree community edition availablekommerziellOpen Source infoAGPL 3.0, commercial license available
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.
ImplementierungsspracheNode.jsJava
Server BetriebssystemegehostetgehostetLinux
OS X
gehostetLinux
OS X
Solaris
Windows
Datenschemajaschemafreidynamic schemaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinja infoJSON data typesja 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, XSLTneinneinneinja
Sekundärindizesneinneinjaall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query languageneinSQL-like data manipulation statementsKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Unterstützte ProgrammiersprachenJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-seitige Scripts infoStored Proceduresuser defined functions infoin JavaneinCustom Functions infosince release 3.1Yes, possible languages: KQL, Python, Rja infoJava
Triggersneinneinneinja 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 serviceShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud serviceInternal replication in Colossus, and regional replication between two clusters in different zonesja infothe nodes on which a table resides can be definedja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenjajaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkYes, via Full Spark Integration
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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinAtomic single-row operationsAtomic execution of specific operationsneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajayes, using LMDBjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjaneinja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesAzure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standard

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Weitere Ressourcen
Alibaba Cloud MaxComputeGoogle Cloud BigtableHarperDBMicrosoft Azure Data ExplorerSplice Machine
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