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DBMS > AnzoGraph DB vs. eXtremeDB vs. GBase vs. Hazelcast vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften AnzoGraph DB vs. eXtremeDB vs. GBase vs. Hazelcast vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAnzoGraph DB  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationNatively in-memory DBMS with options for persistency, high-availability and clusteringWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridFully managed big data interactive analytics platform
Primäres DatenbankmodellGraph DBMS
RDF Store
Relational DBMS
Time Series DBMS
Relational DBMSKey-Value StoreRelational DBMS infocolumn oriented
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
Punkte0,23
Rang#307  Overall
#24  Graph DBMS
#13  RDF Stores
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.mcobject.comwww.gbase.cnhazelcast.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.mcobject.com/­docs/­extremedb.htmhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerCambridge SemanticsMcObjectGeneral Data Technology Co., Ltd.HazelcastMicrosoft
Erscheinungsjahr20182001200420082019
Aktuelle Version2.3, Jänner 20218.2, 2021GBase 8a, GBase 8s, GBase 8c5.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version availablekommerziellkommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++C, Java, PythonJava
Server BetriebssystemeLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAlle Betriebssysteme mit einer Java VMgehostet
DatenschemaSchema-free and OWL/RDFS-schema supportjajaschemafreiFixed schema with schema-less datatypes (dynamic)
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-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infosupport of XML interfaces availablejaja infothe object must implement a serialization strategyja
Sekundärindizesneinjajajaall fields are automatically indexed
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.ja infowith the option: eXtremeSQLStandard with numerous extensionsSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC++
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenjauser defined functionsja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, R
Triggersneinja infoby defining eventsjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic shardinghorizontale Partitionierung / shardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-ClusterActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
jaja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loadingneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphsjajaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDone or two-phase-commit; repeatable reads; read commitednein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajanein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesjaRole-based access controlAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
AnzoGraph DBeXtremeDBGBaseHazelcastMicrosoft Azure Data Explorer
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
AnzoGraph DBeXtremeDBGBaseHazelcastMicrosoft Azure Data Explorer
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