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DBMS > Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. Neo4j vs. Teradata vs. Virtuoso

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. Neo4j vs. Teradata vs. Virtuoso

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NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenTeradata  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformA Wide Column Store for rapid development using massive semi-structured datasetsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA hybrid cloud data analytics software platform (Teradata Vantage)Virtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellRelational DBMS infocolumn orientedWide Column StoreGraph DBMSRelational DBMSDocument Store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF Store
Suchmaschine
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
Document Store
Graph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,48
Rang#75  Overall
#6  Wide Column Stores
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte45,33
Rang#21  Overall
#15  Relational DBMS
Punkte4,26
Rang#78  Overall
#13  Document Stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF Stores
#9  Suchmaschinen
Websiteazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­services/­storage/­tablesneo4j.comwww.teradata.comvirtuoso.openlinksw.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docsdocs.teradata.comdocs.openlinksw.com/­virtuoso
EntwicklerMicrosoftMicrosoftNeo4j, Inc.TeradataOpenLink Software
Erscheinungsjahr20192012200719841998
Aktuelle Versioncloud service with continuous releases5.19, April 2024Teradata Vantage 1.0 MU2, Jänner 20197.2.11, September 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfkommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheJava, ScalaC
Server BetriebssystemegehostetgehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
gehostet
Linux
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaFixed schema with schema-less datatypes (dynamic)schemafreischemafrei und schema-optionaljaja infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinjaja
Sekundärindizesall fields are automatically indexedneinja infoAustauschbares Index Subsystem, per Default Apache Luceneja infoSpezielle Join-Indizes für physikalisches 'pre-joining' von Tabellenja
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetneinneinja infoSQL 2016 + extensionsja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, Rneinja infoUser defined Procedures and Functionsja infoUDFs, stored procedures, table functions in parallelja infoVirtuoso PL
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja infomittels Event Handlerjaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceja, mit Neo4j FabricSharding infoHashingja
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-Source Replikation
Source-Replica Replikation
Chain, star, and bi-directional replication
Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoBeziehungen in Graphenjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinoptimistic LockingACIDACIDACID
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 haltenneinneinjaja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationAccess rights based on private key authentication or shared access signaturesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data ExplorerMicrosoft Azure Table StorageNeo4jTeradataVirtuoso
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» mehr
Broad use across enterprises and governments including — European Union (EU) US Government...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» mehr
Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» mehr
Neuigkeiten

How to Configure Neo4j Aura With AWS PrivateLink
21. Mai 2024

This Week in Neo4j: Podcast, GraphRAG, GraphQL, Chatbot and more
18. Mai 2024

Neo4j Joins the Connect with Confluent Partner Program
16. Mai 2024

10 Inspiring Projects to Spark Your NODES 2024 Presentation
15. Mai 2024

New Security Feature in Neo4j Aura: Customer Managed Keys
15. Mai 2024

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Weitere Ressourcen
Microsoft Azure Data ExplorerMicrosoft Azure Table StorageNeo4jTeradataVirtuoso
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