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DBMS > Amazon Redshift vs. GridDB vs. Microsoft Azure Data Explorer vs. Spark SQL vs. Titan

Vergleich der Systemeigenschaften Amazon Redshift vs. GridDB vs. Microsoft Azure Data Explorer vs. Spark SQL vs. Titan

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessenTitan  Xaus Vergleich ausschliessen
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsScalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformSpark SQL ist ein Spark-Modul für die Verarbeitung strukturierter DatenTitan ist ein Graph DBMS optimiert für verteilte Clusters.
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedRelational DBMSGraph 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
Punkte17,94
Rang#34  Overall
#21  Relational DBMS
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte18,96
Rang#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftgriddb.netazure.microsoft.com/­services/­data-explorerspark.apache.org/­sqlgithub.com/­thinkaurelius/­titan
Technische Dokumentationdocs.aws.amazon.com/­redshiftdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorerspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wiki
EntwicklerAmazon (based on PostgreSQL)Toshiba CorporationMicrosoftApache Software FoundationAurelius, owned by DataStax
Erscheinungsjahr20122013201920142012
Aktuelle Version5.1, August 2022cloud service with continuous releases3.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellOpen Source infoApache 2.0Open Source infoApache Lizenz, Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCC++ScalaJava
Server BetriebssystemegehostetLinuxgehostetLinux
OS X
Windows
Linux
OS X
Unix
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja 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-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizeseingeschränktjaall fields are automatically indexedneinja
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetSQL-like DML and DDL statementsnein
APIs und andere ZugriffskonzepteJDBC
ODBC
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Python
R
Scala
Clojure
Java
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin PythonneinYes, possible languages: KQL, Python, Rneinja
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Coreja infoüber integrierbare Storage Backends
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineja
MapReduce infoBietet ein API für Map/Reduce OperationenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja infomittels Faunus, eine Graph Analytics Engine
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinneinneinja infoBeziehungen in Graph
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID at container levelneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users can be defined per databaseAzure Active Directory AuthenticationneinBenutzer Authentification und Sicherheit via Rexster Graph Server
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon RedshiftGridDBMicrosoft Azure Data ExplorerSpark SQLTitan
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...
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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...
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Market metricsGitHub trending repository
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Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Weitere Ressourcen
Amazon RedshiftGridDBMicrosoft Azure Data ExplorerSpark SQLTitan
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