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DBMS > ArangoDB vs. GraphDB vs. HEAVY.AI vs. Microsoft Azure Data Explorer vs. Tibero

Vergleich der Systemeigenschaften ArangoDB vs. GraphDB vs. HEAVY.AI vs. Microsoft Azure Data Explorer vs. Tibero

Redaktionelle Informationen bereitgestellt von DB-Engines
NameArangoDB  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTibero  Xaus Vergleich ausschliessen
KurzbeschreibungNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully managed big data interactive analytics platformA secure RDBMS, designed for easy portability from Oracle
Primäres DatenbankmodellDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
Graph DBMS
RDF Store
Relational DBMSRelational DBMS infocolumn orientedRelational DBMS
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
Punkte3,26
Rang#88  Overall
#15  Document Stores
#5  Graph DBMS
#12  Key-Value Stores
#10  Suchmaschinen
Punkte3,25
Rang#91  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte1,64
Rang#145  Overall
#67  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,59
Rang#148  Overall
#68  Relational DBMS
Websitearangodb.comwww.ontotext.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­data-explorerus.tmaxsoft.com/­products/­tibero
Technische Dokumentationdocs.arangodb.comgraphdb.ontotext.com/­documentationdocs.heavy.aidocs.microsoft.com/­en-us/­azure/­data-explorertechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
Social network pagesLinkedInTwitterYouTubeFacebookInstagramLinkedInTwitterYouTubeGitHubMedium
EntwicklerArangoDB Inc.OntotextHEAVY.AI, Inc.MicrosoftTmaxSoft
Erscheinungsjahr20122000201620192003
Aktuelle Version3.11.5, November 202310.4, Oktober 20235.10, Jänner 2022cloud service with continuous releases6, April 2015
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablekommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2; enterprise edition availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
ImplementierungsspracheC++JavaC++ and CUDAC and Assembler
Server BetriebssystemeLinux
OS X
Windows
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
LinuxgehostetAIX
HP-UX
Linux
Solaris
Windows
Datenschemaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntschema-free and OWL/RDFS-schema support; RDF shapesjaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hashjajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaja
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesneinall fields are automatically indexedja
SQL infoSupport of SQLneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCjaKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Thrift
Vega
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Unterstützte ProgrammiersprachenC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored ProceduresJavaScriptwell-defined plugin interfaces; JavaScript server-side extensibilityneinYes, possible languages: KQL, Python, RPersistent Stored Procedure (PSM)
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoAb Version 2.0keineSharding infoRound robinSharding infoImplicit feature of the cloud servicehorizontale Partitionierung infoby range, hash, list or composite
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factorMulti-Source ReplikationMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationennein infoMöglich über stored procedures in JavaScriptneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphsja infoConstraint checkingneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein infoplanned for next version
Berechtigungskonzept infoZugriffskontrollejaDefault 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.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard (SQL 92, SQL 99)
Weitere Informationen bereitgestellt vom Systemhersteller
ArangoDBGraphDB infoUrsprünglicher Name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Data ExplorerTibero
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
Metadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
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Weitere Ressourcen
ArangoDBGraphDB infoUrsprünglicher Name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Data ExplorerTibero
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