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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGigaSpaces  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
KurzbeschreibungHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEnterprise-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
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF Store
Relational DBMSRelational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Spatial 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
Punkte1,03
Rang#188  Overall
#32  Document Stores
#6  Object oriented DBMS
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
Websitewww.gigaspaces.comwww.ontotext.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­data-explorerus.tmaxsoft.com/­products/­tibero
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmlgraphdb.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 pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerGigaspaces TechnologiesOntotextHEAVY.AI, Inc.MicrosoftTmaxSoft
Erscheinungsjahr20002000201620192003
Aktuelle Version15.5, September 202010.4, Oktober 20235.10, Jänner 2022cloud service with continuous releases6, April 2015
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses 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.
ImplementierungsspracheJava, C++, .NetJavaC++ and CUDAC and Assembler
Server BetriebssystemeLinux
macOS
Solaris
Windows
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
LinuxgehostetAIX
HP-UX
Linux
Solaris
Windows
Datenschemaschemafreischema-free and OWL/RDFS-schema support; RDF shapesjaFixed schema with schema-less datatypes (dynamic)ja
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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein infoXML can be used for describing objects metadataneinneinjaja
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesneinall fields are automatically indexedja
SQL infoSupport of SQLSQL-99 for query and DML statementsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCjaKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
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 Programmiersprachen.Net
C++
Java
Python
Scala
.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 Proceduresjawell-defined plugin interfaces; JavaScript server-side extensibilityneinYes, possible languages: KQL, Python, RPersistent Stored Procedure (PSM)
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoRound robinSharding infoImplicit feature of the cloud servicehorizontale Partitionierung infoby range, hash, list or composite
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
Multi-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 Operationenja infoMap-Reduce pattern can be built with XAP task executorsneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja 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 haltenjajaneinnein infoplanned for next version
Berechtigungskonzept infoZugriffskontrolleRole-based access controlDefault 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
GigaSpacesGraphDB infoUrsprünglicher Name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Data ExplorerTibero
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
GigaSpacesGraphDB infoUrsprünglicher Name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Data ExplorerTibero
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