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DBMS > Amazon DocumentDB vs. GridDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Prometheus

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DocumentDB  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessen
KurzbeschreibungFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable 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 System
Primäres DatenbankmodellDocument StoreTime Series DBMSKey-Value StoreRelational DBMS infocolumn orientedTime 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
Punkte1,91
Rang#132  Overall
#24  Document Stores
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte8,42
Rang#47  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­documentdbgriddb.nethazelcast.comazure.microsoft.com/­services/­data-explorerprometheus.io
Technische Dokumentationaws.amazon.com/­documentdb/­resourcesdocs.griddb.nethazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerprometheus.io/­docs
EntwicklerToshiba CorporationHazelcastMicrosoft
Erscheinungsjahr20192013200820192015
Aktuelle Version5.1, August 20225.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen 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 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++JavaGo
Server BetriebssystemegehostetLinuxAlle Betriebssysteme mit einer Java VMgehostetLinux
Windows
DatenschemaschemafreijaschemafreiFixed schema with schema-less datatypes (dynamic)ja
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-typesNumeric data only
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinja infothe object must implement a serialization strategyjanein infoImportieren von XML Daten möglich
Sekundärindizesjajajaall fields are automatically indexednein
SQL infoSupport of SQLneinSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageKusto Query Language (KQL), SQL subsetnein
APIs und andere Zugriffskonzepteproprietary protocol using JSON (MongoDB compatible)JDBC
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 API
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
PHP
Python
C
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 Proceduresneinneinja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rnein
Triggersneinjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-Replica Replikationja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infomittels Federation
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsjaSpark 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 containersImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
keine
Fremdschlüssel inforeferenzielle Integritätnein infotypically not used, however similar functionality with DBRef possibleneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-document operationsACID at container levelone or two-phase-commit; repeatable reads; read commitedneinnein
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 haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAccess rights for users can be defined per databaseRole-based access controlAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DocumentDBGridDBHazelcastMicrosoft Azure Data ExplorerPrometheus
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
Amazon DocumentDBGridDBHazelcastMicrosoft Azure Data ExplorerPrometheus
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