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DBMS > eXtremeDB vs. Graph Engine vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Prometheus

Vergleich der Systemeigenschaften eXtremeDB vs. Graph Engine vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Prometheus

Redaktionelle Informationen bereitgestellt von DB-Engines
NameeXtremeDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessen
KurzbeschreibungNatively in-memory DBMS with options for persistency, high-availability and clusteringA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridFully managed big data interactive analytics platformOpen Source Timeseries DBMS und Monitoring System
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Graph DBMS
Key-Value Store
Key-Value StoreRelational DBMS infocolumn orientedTime 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
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
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
Websitewww.mcobject.comwww.graphengine.iohazelcast.comazure.microsoft.com/­services/­data-explorerprometheus.io
Technische Dokumentationwww.mcobject.com/­docs/­extremedb.htmwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerprometheus.io/­docs
EntwicklerMcObjectMicrosoftHazelcastMicrosoft
Erscheinungsjahr20012010200820192015
Aktuelle Version8.2, 20215.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++.NET and CJavaGo
Server BetriebssystemeAIX
HP-UX
Linux
macOS
Solaris
Windows
.NETAlle Betriebssysteme mit einer Java VMgehostetLinux
Windows
DatenschemajajaschemafreiFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTnein infosupport of XML interfaces availableneinja infothe object must implement a serialization strategyjanein infoImportieren von XML Daten möglich
Sekundärindizesjajaall fields are automatically indexednein
SQL infoSupport of SQLja infowith the option: eXtremeSQLneinSQL-like query languageKusto Query Language (KQL), SQL subsetnein
APIs und andere Zugriffskonzepte.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
RESTful HTTP APIJCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
F#
Visual Basic
.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 Proceduresjajaja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rnein
Triggersja infoby defining eventsneinja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung / shardinghorizontale PartitionierungShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
ja 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 OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
keine
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinone or two-phase-commit; repeatable reads; read commitedneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajajaja
Durability infoDauerhafte Speicherung der Datenjaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajaneinnein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
eXtremeDBGraph Engine infoformer name: TrinityHazelcastMicrosoft Azure Data ExplorerPrometheus
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Weitere Ressourcen
eXtremeDBGraph Engine infoformer name: TrinityHazelcastMicrosoft Azure Data ExplorerPrometheus
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