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DBMS > GridDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Prometheus vs. VictoriaMetrics

Vergleich der Systemeigenschaften GridDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Prometheus vs. VictoriaMetrics

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridDB  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessenVictoriaMetrics  Xaus Vergleich ausschliessen
KurzbeschreibungScalable in-memory time series database optimized for IoT and Big DataA widely adopted in-memory data gridFully managed big data interactive analytics platformOpen Source Timeseries DBMS und Monitoring SystemA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primäres DatenbankmodellTime Series DBMSKey-Value StoreRelational DBMS infocolumn orientedTime Series DBMSTime Series DBMS
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Document Store infoJSON support with IMDG 3.12Document 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
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte7,69
Rang#50  Overall
#3  Time Series DBMS
Punkte1,23
Rang#172  Overall
#15  Time Series DBMS
Websitegriddb.nethazelcast.comazure.microsoft.com/­services/­data-explorerprometheus.iovictoriametrics.com
Technische Dokumentationdocs.griddb.nethazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerprometheus.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
EntwicklerToshiba CorporationHazelcastMicrosoftVictoriaMetrics
Erscheinungsjahr20132008201920152018
Aktuelle Version5.1, August 20225.3.6, November 2023cloud service with continuous releasesv1.91, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoApache 2.0Open Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++JavaGoGo
Server BetriebssystemeLinuxAlle Betriebssysteme mit einer Java VMgehostetLinux
Windows
FreeBSD
Linux
macOS
OpenBSD
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja 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-typesNumeric data only
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infothe object must implement a serialization strategyjanein infoImportieren von XML Daten möglichnein
Sekundärindizesjajaall fields are automatically indexednein
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageKusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzepteJDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP/JSON APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Unterstützte ProgrammiersprachenC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-seitige Scripts infoStored Proceduresneinja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rneinnein
Triggersjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infomittels FederationSynchronous replication
MapReduce infoBietet ein API für Map/Reduce OperationenConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
keineEventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID at container levelone or two-phase-commit; repeatable reads; read commitedneinneinnein
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 haltenjajaneinneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users can be defined per databaseRole-based access controlAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
GridDBHazelcastMicrosoft Azure Data ExplorerPrometheusVictoriaMetrics
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
GridDBHazelcastMicrosoft Azure Data ExplorerPrometheusVictoriaMetrics
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