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DBMS > Alibaba Cloud MaxCompute vs. DuckDB vs. Google Cloud Bigtable vs. GridDB vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Alibaba Cloud MaxCompute vs. DuckDB vs. Google Cloud Bigtable vs. GridDB vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlibaba Cloud MaxCompute  Xaus Vergleich ausschliessenDuckDB  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embeddable, in-process, column-oriented SQL OLAP RDBMSGoogle'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 DataFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSKey-Value Store
Wide Column Store
Time Series 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
Punkte0,84
Rang#209  Overall
#98  Relational DBMS
Punkte4,63
Rang#69  Overall
#37  Relational DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeduckdb.orgcloud.google.com/­bigtablegriddb.netazure.microsoft.com/­services/­data-explorer
Technische Dokumentationwww.alibabacloud.com/­help/­en/­maxcomputeduckdb.org/­docscloud.google.com/­bigtable/­docsdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerAlibabaGoogleToshiba CorporationMicrosoft
Erscheinungsjahr20162018201520132019
Aktuelle Version0.10, Februar 20245.1, August 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoMIT LicensekommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++C++
Server BetriebssystemegehostetserverlosgehostetLinuxgehostet
DatenschemajajaschemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinja infonumerical, string, blob, geometry, boolean, timestampja 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
Sekundärindizesneinjaneinjaall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagejaneinSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteFluentd
Flume
MaxCompute Console
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
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 ProgrammiersprachenJavaC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresuser defined functions infoin JavaneinneinneinYes, possible languages: KQL, Python, R
Triggersneinneinneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud servicekeineShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud servicekeineInternal replication in Colossus, and regional replication between two clusters in different zonesSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinjaConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate 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 Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDAtomic single-row operationsACID at container levelnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinjanein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesneinAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Alibaba Cloud MaxComputeDuckDBGoogle Cloud BigtableGridDBMicrosoft 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

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
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Weitere Ressourcen
Alibaba Cloud MaxComputeDuckDBGoogle Cloud BigtableGridDBMicrosoft Azure Data Explorer
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