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DBMS > Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. SAP SQL Anywhere vs. SingleStore vs. Vitess

Vergleich der Systemeigenschaften Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. SAP SQL Anywhere vs. SingleStore vs. Vitess

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Datastore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSAP SQL Anywhere infofrüher Adaptive Server Anywhere genannt  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenVitess  Xaus Vergleich ausschliessen
KurzbeschreibungSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformFully managed big data interactive analytics platformRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeScalable, distributed, cloud-native DBMS, extending MySQL
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedRelational DBMSRelational DBMSRelational 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
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
Document Store
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,25
Rang#79  Overall
#43  Relational DBMS
Punkte5,60
Rang#62  Overall
#35  Relational DBMS
Punkte0,82
Rang#209  Overall
#97  Relational DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­services/­data-explorerwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.singlestore.comvitess.io
Technische Dokumentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.singlestore.comvitess.io/­docs
EntwicklerGoogleMicrosoftSAP infofrüher SybaseSingleStore Inc.The Linux Foundation, PlanetScale
Erscheinungsjahr20082019199220132013
Aktuelle Versioncloud service with continuous releases17, Juli 20158.5, Jänner 202415.0.2, December 2022
Lizenz infoCommercial or Open Sourcekommerziellkommerziellkommerziellkommerziell infofree developer edition availableOpen Source infoApache Version 2.0, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheC++, GoGo
Server BetriebssystemegehostetgehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux info64 bit version requiredDocker
Linux
macOS
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jajaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, Details hierja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajanein
Sekundärindizesjaall fields are automatically indexedjajaja
SQL infoSupport of SQLSQL-like query language (GQL)Kusto Query Language (KQL), SQL subsetjayes infobut no triggers and foreign keysja infomit proprietären Erweiterungen
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-seitige Scripts infoStored Proceduresmit Google App EngineYes, possible languages: KQL, Python, Ryes, in C/C++, Java, .Net or Perljaja infoproprietäre Syntax
TriggersCallbacks mit Google Apps Engineja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicekeineSharding infohash partitioningSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication using Paxosja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infoDatabase mirroringSource-Replica Replikation infostores two copies of each physical data partition on two separate nodesMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenja infomittels Google Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein infocan define user-defined aggregate functions for map-reduce-style calculationsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Fremdschlüssel inforeferenzielle Integritätja infovia ReferenceProperties or Ancestor pathsneinjaneinja infonicht für MyISAM Storage Engine
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsneinACIDACIDACID at shard level
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja infoTable Locks oder Row Locks abhängig von Storage Engine
Durability infoDauerhafte Speicherung der Datenjajajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjajaja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardFine grained access control via users, groups and rolesBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud DatastoreMicrosoft Azure Data ExplorerSAP SQL Anywhere infofrüher Adaptive Server Anywhere genanntSingleStore infoformer name was MemSQLVitess
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsCustomers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
Google Cloud DatastoreMicrosoft Azure Data ExplorerSAP SQL Anywhere infofrüher Adaptive Server Anywhere genanntSingleStore infoformer name was MemSQLVitess
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