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DBMS > AnzoGraph DB vs. Google Cloud Datastore vs. GridDB vs. Microsoft Azure Data Explorer vs. SAP SQL Anywhere

Vergleich der Systemeigenschaften AnzoGraph DB vs. Google Cloud Datastore vs. GridDB vs. Microsoft Azure Data Explorer vs. SAP SQL Anywhere

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAnzoGraph DB  Xaus Vergleich ausschliessenGoogle Cloud Datastore  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSAP SQL Anywhere infofrüher Adaptive Server Anywhere genannt  Xaus Vergleich ausschliessen
KurzbeschreibungScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformScalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primäres DatenbankmodellGraph DBMS
RDF Store
Document StoreTime Series DBMSRelational DBMS infocolumn orientedRelational DBMS
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
Punkte0,23
Rang#307  Overall
#24  Graph DBMS
#13  RDF Stores
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,25
Rang#79  Overall
#43  Relational DBMS
Websitecambridgesemantics.com/­anzographcloud.google.com/­datastoregriddb.netazure.microsoft.com/­services/­data-explorerwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­datastore/­docsdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorerhelp.sap.com/­docs/­SAP_SQL_Anywhere
EntwicklerCambridge SemanticsGoogleToshiba CorporationMicrosoftSAP infofrüher Sybase
Erscheinungsjahr20182008201320191992
Aktuelle Version2.3, Jänner 20215.1, August 2022cloud service with continuous releases17, Juli 2015
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version availablekommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++
Server BetriebssystemeLinuxgehostetLinuxgehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaSchema-free and OWL/RDFS-schema supportschemafreijaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, Details hierja 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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjaja
Sekundärindizesneinjajaall fields are automatically indexedja
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query language (GQL)SQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Unterstützte ProgrammiersprachenC++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenmit Google App EngineneinYes, possible languages: KQL, Python, Ryes, in C/C++, Java, .Net or Perl
TriggersneinCallbacks mit Google Apps Enginejaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic shardingShardingShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-ClusterMulti-source replication using PaxosSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infoDatabase mirroring
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loadingja infomittels Google Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency in MPP-ClusterImmediate 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.Immediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphsja infovia ReferenceProperties or Ancestor pathsneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID at container levelneinACID
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 haltenjaneinjaneinja
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 can be defined per databaseAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
AnzoGraph DBGoogle Cloud DatastoreGridDBMicrosoft Azure Data ExplorerSAP SQL Anywhere infofrüher Adaptive Server Anywhere genannt
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
AnzoGraph DBGoogle Cloud DatastoreGridDBMicrosoft Azure Data ExplorerSAP SQL Anywhere infofrüher Adaptive Server Anywhere genannt
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