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DBMS > eXtremeDB vs. GigaSpaces vs. Microsoft Azure Data Explorer vs. OpenEdge vs. Prometheus

Vergleich der Systemeigenschaften eXtremeDB vs. GigaSpaces vs. Microsoft Azure Data Explorer vs. OpenEdge vs. Prometheus

Redaktionelle Informationen bereitgestellt von DB-Engines
NameeXtremeDB  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOpenEdge  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessen
KurzbeschreibungNatively in-memory DBMS with options for persistency, high-availability and clusteringHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully managed big data interactive analytics platformAnwendungsentwicklungsumgebung mit integrierter DatenbankOpen Source Timeseries DBMS und Monitoring System
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Document Store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infocolumn orientedRelational DBMSTime Series DBMS
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
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
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte3,51
Rang#86  Overall
#46  Relational DBMS
Punkte8,42
Rang#47  Overall
#2  Time Series DBMS
Websitewww.mcobject.comwww.gigaspaces.comazure.microsoft.com/­services/­data-explorerwww.progress.com/­openedgeprometheus.io
Technische Dokumentationwww.mcobject.com/­docs/­extremedb.htmdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
EntwicklerMcObjectGigaspaces TechnologiesMicrosoftProgress Software Corporation
Erscheinungsjahr20012000201919842015
Aktuelle Version8.2, 202115.5, September 2020cloud service with continuous releasesOpenEdge 12.2, Maerz 2020
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; Commercial licenses availablekommerziellkommerziellOpen Source infoApache 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 und C++Java, C++, .NetGo
Server BetriebssystemeAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Solaris
Windows
gehostetAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)jaja
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-typesjaNumeric 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 availablenein infoXML can be used for describing objects metadatajajanein infoImportieren von XML Daten möglich
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLja infowith the option: eXtremeSQLSQL-99 for query and DML statementsKusto Query Language (KQL), SQL subsetja infoclose to SQL 92nein
APIs und andere Zugriffskonzepte.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rjanein
Triggersja infoby defining eventsjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung / shardingShardingSharding infoImplicit feature of the cloud servicehorizontale Partitionierung infosince Version 11.4Sharding
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
Multi-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationja infomittels Federation
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoMap-Reduce pattern can be built with XAP task executorsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistencykeine
Fremdschlüssel inforeferenzielle Integritätjaneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinneinnein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationBenutzer und Gruppennein
Weitere Informationen bereitgestellt vom Systemhersteller
eXtremeDBGigaSpacesMicrosoft Azure Data ExplorerOpenEdgePrometheus
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
eXtremeDBGigaSpacesMicrosoft Azure Data ExplorerOpenEdgePrometheus
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