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DBMS > Faircom EDGE vs. GBase vs. Hazelcast vs. MarkLogic vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Faircom EDGE vs. GBase vs. Hazelcast vs. MarkLogic vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMarkLogic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridOperational and transactional Enterprise NoSQL databaseFully managed big data interactive analytics platform
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMSKey-Value StoreDocument Store
Native XML DBMS
RDF Store infoab Version 7
Suchmaschine
Relational 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
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte5,92
Rang#58  Overall
#10  Document Stores
#1  Native XML DBMS
#1  RDF Stores
#6  Suchmaschinen
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.gbase.cnhazelcast.comwww.marklogic.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdocs.marklogic.comdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerFairCom CorporationGeneral Data Technology Co., Ltd.HazelcastMarkLogic Corp.Microsoft
Erscheinungsjahr19792004200820012019
Aktuelle VersionV3, Oktober 2020GBase 8a, GBase 8s, GBase 8c5.3.6, November 202311.0, December 2022cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziell infoeingeschränkte kostenlose Version verfügbarkommerziell
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.
ImplementierungsspracheANSI C, C++C, Java, PythonJavaC++
Server BetriebssystemeAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxAlle Betriebssysteme mit einer Java VMLinux
OS X
Windows
gehostet
DatenschemaFlexible Schema (defined schema, partial schema, schema free)jaschemafreischemafrei infoSchema kann erzwungen werdenFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Typesjajajaja 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, XSLTjajaja infothe object must implement a serialization strategyjaja
Sekundärindizesjajajajaall fields are automatically indexed
SQL infoSupport of SQLja infoANSI SQL queriesStandard with numerous extensionsSQL-like query languageja infoSQL92Kusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++user defined functionsja infoEvent Listeners, Executor Servicesja infovia XQuery or JavaScriptYes, possible languages: KQL, Python, R
Triggersjajaja infoEventsjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoSynchronous and asynchronous realtime replication based on transaction logsjaja infoReplicated Mapjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinjaja infoÃœber Hadoop Connector, HDFS Direct Access und in-database MapReduce JobsSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowhen using SQLjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDone or two-phase-commit; repeatable reads; read commitedACID infocan act as a resource manager in an XA/JTA transactionnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoacross SQL and NoSQLjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajayes, with Range Indexesnein
Berechtigungskonzept infoZugriffskontrolleFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.jaRole-based access controlRollen-basierte Zugriffskontrolle auf Dokumenten- und SubdokumentenebeneAzure Active Directory Authentication

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Weitere Ressourcen
Faircom EDGE infoformerly c-treeEDGEGBaseHazelcastMarkLogicMicrosoft Azure Data Explorer
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