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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DocumentDB  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessen
KurzbeschreibungFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted in-memory data gridFully managed big data interactive analytics platformA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen Source Timeseries DBMS und Monitoring System
Primäres DatenbankmodellDocument StoreKey-Value StoreRelational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Time Series DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,95
Rang#100  Overall
#17  Document Stores
#17  Key-Value Stores
#50  Relational DBMS
Punkte8,42
Rang#47  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­documentdbhazelcast.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­nosql/­technologies/­nosqlprometheus.io
Technische Dokumentationaws.amazon.com/­documentdb/­resourceshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlprometheus.io/­docs
EntwicklerHazelcastMicrosoftOracle
Erscheinungsjahr20192008201920112015
Aktuelle Version5.3.6, November 2023cloud service with continuous releases23.3, Dezember 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 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.
ImplementierungsspracheJavaJavaGo
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VMgehostetLinux
Solaris SPARC/x86
Linux
Windows
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesoptionalNumeric 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 strategyjaneinnein infoImportieren von XML Daten möglich
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLneinSQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statementsnein
APIs und andere Zugriffskonzepteproprietary protocol using JSON (MongoDB compatible)JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIRESTful HTTP/JSON API
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-seitige Scripts infoStored Proceduresneinja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rneinnein
Triggersneinja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featureja infomittels Federation
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infoabhängig von Konfiguration
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 operationsone or two-phase-commit; repeatable reads; read commitedneinkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)nein
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 haltenjaneinja infooff heap cachenein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesRole-based access controlAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollennein

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Weitere Ressourcen
Amazon DocumentDBHazelcastMicrosoft Azure Data ExplorerOracle NoSQLPrometheus
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