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DBMS > Apache Phoenix vs. Dgraph vs. eXtremeDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Apache Phoenix vs. Dgraph vs. eXtremeDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Phoenix  Xaus Vergleich ausschliessenDgraph  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungA scale-out RDBMS with evolutionary schema built on Apache HBaseVerteiltes, skalierbares Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringGlobally distributed, horizontally scalable, multi-model database serviceFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSGraph DBMSRelational DBMS
Time Series DBMS
Document Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleSpatial DBMSDocument 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
Punkte1,97
Rang#126  Overall
#59  Relational DBMS
Punkte1,45
Rang#156  Overall
#15  Graph DBMS
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte29,04
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitephoenix.apache.orgdgraph.iowww.mcobject.comazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­data-explorer
Technische Dokumentationphoenix.apache.orgdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmlearn.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software FoundationDgraph Labs, Inc.McObjectMicrosoftMicrosoft
Erscheinungsjahr20142016200120142019
Aktuelle Version5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.2, 2021cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0kommerziellkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaGoC und C++
Server BetriebssystemeLinux
Unix
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
gehostetgehostet
Datenschemaja infolate-bound, schema-on-read capabilitiesschemafreijaschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infoJSON typesja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein infosupport of XML interfaces availableja
Sekundärindizesjajajaja infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLjaneinja infowith the option: eXtremeSQLSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinjaJavaScriptYes, possible languages: KQL, Python, R
Triggersneinneinja infoby defining eventsJavaScriptja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingjahorizontale Partitionierung / shardingSharding infoImplizit im Cloud ServiceSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
Synchronous replication via RaftActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
ja infoImplizit im Cloud Serviceja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenHadoop integrationneinneinwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrolleAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynein infoPlanned for future releasesZugriffsrechte bis auf item level einstellbarAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Apache PhoenixDgrapheXtremeDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data Explorer
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
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
Apache PhoenixDgrapheXtremeDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data Explorer
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