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DBMS > Apache Doris vs. GridDB vs. JanusGraph vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage

Vergleich der Systemeigenschaften Apache Doris vs. GridDB vs. JanusGraph vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Doris  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenJanusGraph infosuccessor of Titan  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessen
KurzbeschreibungAn MPP-based analytics DBMS embracing the MySQL protocolScalable in-memory time series database optimized for IoT and Big DataA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully managed big data interactive analytics platformA Wide Column Store for rapid development using massive semi-structured datasets
Primäres DatenbankmodellRelational DBMSTime Series DBMSGraph DBMSRelational DBMS infocolumn orientedWide Column Store
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
Punkte0,60
Rang#247  Overall
#113  Relational DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte2,02
Rang#125  Overall
#12  Graph DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,04
Rang#77  Overall
#6  Wide Column Stores
Websitedoris.apache.org
github.com/­apache/­doris
griddb.netjanusgraph.orgazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­services/­storage/­tables
Technische Dokumentationgithub.com/­apache/­doris/­wikidocs.griddb.netdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software Foundation, originally contributed from BaiduToshiba CorporationLinux Foundation; originally developed as Titan by AureliusMicrosoftMicrosoft
Erscheinungsjahr20172013201720192012
Aktuelle Version1.2.2, Februar 20235.1, August 20220.6.3, Februar 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0kommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++Java
Server BetriebssystemeLinuxLinuxLinux
OS X
Unix
Windows
gehostetgehostet
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infonumerical, string, blob, geometry, boolean, timestampjaja 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, XSLTneinneinneinjanein
Sekundärindizesjajajaall fields are automatically indexednein
SQL infoSupport of SQLjaSQL92, SQL-like TQL (Toshiba Query Language)neinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
MySQL client
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Unterstützte ProgrammiersprachenJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinjaYes, possible languages: KQL, Python, Rnein
Triggersneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungShardingja infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineSource-Replica Replikationjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsja infovia Faunus, a graph analytics engineSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
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
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoRelationships in graphsneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID at container levelACIDneinoptimistic Locking
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users can be defined per databaseBenutzer Authentification und Sicherheit via Rexster Graph ServerAzure Active Directory AuthenticationAccess rights based on private key authentication or shared access signatures
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DorisGridDBJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerMicrosoft Azure Table Storage
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
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Weitere Ressourcen
Apache DorisGridDBJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerMicrosoft Azure Table Storage
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