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DBMS > Faircom DB vs. GraphDB vs. MarkLogic vs. Microsoft Azure Data Explorer vs. Yanza

Vergleich der Systemeigenschaften Faircom DB vs. GraphDB vs. MarkLogic vs. Microsoft Azure Data Explorer vs. Yanza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenMarkLogic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenYanza  Xaus Vergleich ausschliessen
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Operational and transactional Enterprise NoSQL databaseFully managed big data interactive analytics platformTime Series DBMS for IoT Applications
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Graph DBMS
RDF Store
Document Store
Native XML DBMS
RDF Store infoab Version 7
Suchmaschine
Relational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte3,25
Rang#91  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte5,18
Rang#63  Overall
#11  Document Stores
#1  Native XML DBMS
#1  RDF Stores
#7  Suchmaschinen
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.ontotext.comwww.progress.com/­marklogicazure.microsoft.com/­services/­data-exploreryanza.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlgraphdb.ontotext.com/­documentationwww.progress.com/­marklogic/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerFairCom CorporationOntotextMarkLogic Corp.MicrosoftYanza
Erscheinungsjahr19792000200120192015
Aktuelle VersionV12, November 202010.4, Oktober 202311.0, December 2022cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziell infoeingeschränkte kostenlose Version verfügbarkommerziellkommerziell infofree version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein infobut mainly used as a service provided by Yanza
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheANSI C, C++JavaC++
Server BetriebssystemeAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
OS X
Windows
gehostetWindows
Datenschemaschema free, schema optional, schema required, partial schema,schema-free and OWL/RDFS-schema support; RDF shapesschemafrei infoSchema kann erzwungen werdenFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Types, JSON, typed binary structuresjajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjajanein
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesjaall fields are automatically indexednein
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCja infoSQL92Kusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
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
HTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++well-defined plugin interfaces; JavaScript server-side extensibilityja infovia XQuery or JavaScriptYes, possible languages: KQL, Python, Rnein
Triggersjaneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoTimer and event based
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningkeineShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-Source Replikationjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infoÃœber Hadoop Connector, HDFS Direct Access und in-database MapReduce JobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaja infoConstraint checkingneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationentunable from ACID to Eventually ConsistentACIDACID infocan act as a resource manager in an XA/JTA transactionneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenYes, tunable from durable to delayed durability to in-memoryjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjayes, with Range Indexesnein
Berechtigungskonzept infoZugriffskontrolleFine grained access rights according to SQL-standard with additional protections for filesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Rollen-basierte Zugriffskontrolle auf Dokumenten- und SubdokumentenebeneAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Faircom DB infoformerly c-treeACEGraphDB infoUrsprünglicher Name: OWLIMMarkLogicMicrosoft Azure Data ExplorerYanza
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
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Weitere Ressourcen
Faircom DB infoformerly c-treeACEGraphDB infoUrsprünglicher Name: OWLIMMarkLogicMicrosoft Azure Data ExplorerYanza
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