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DBMS > Microsoft Azure Data Explorer vs. Neo4j vs. SQLite vs. Teradata vs. Virtuoso

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenSQLite  Xaus Vergleich ausschliessenTeradata  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsWeit verbreitetes In-Process RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)Virtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellRelational DBMS infocolumn orientedGraph DBMSRelational 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
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte114,32
Rang#10  Overall
#7  Relational 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-explorerneo4j.comwww.sqlite.orgwww.teradata.comvirtuoso.openlinksw.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docswww.sqlite.org/­docs.htmldocs.teradata.comdocs.openlinksw.com/­virtuoso
EntwicklerMicrosoftNeo4j, Inc.Dwayne Richard HippTeradataOpenLink Software
Erscheinungsjahr20192007200019841998
Aktuelle Versioncloud service with continuous releases5.19, April 20243.45.3  (15 April 2024), April 2024Teradata Vantage 1.0 MU2, Jänner 20197.2.11, September 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source infoPublic DomainkommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein
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, ScalaCC
Server BetriebssystemegehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
serverlosgehostet
Linux
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optionalja infodynamische Spaltentypenjaja 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-typesjaja infokeine strenge Typisierung wegen 'dynamic typing'jaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinjaja
Sekundärindizesall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Lucenejaja infoSpezielle Join-Indizes für physikalisches 'pre-joining' von Tabellenja
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetneinja infoSQL-92 wird nicht vollständig unterstütztja infoSQL 2016 + extensionsja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET infoinoffizielle Driver
JDBC infoinoffizielle Driver
ODBC infoinoffizielle Driver
.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
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
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, Rja infoUser defined Procedures and Functionsneinja infoUDFs, stored procedures, table functions in parallelja infoVirtuoso PL
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event Handlerjajaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceja, mit Neo4j FabrickeineSharding 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.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlykeineMulti-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
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoBeziehungen in Graphenjajaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infomittels Filesystem-Locksjaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajaja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)neinBenutzer 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 ExplorerNeo4jSQLiteTeradataVirtuoso
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

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Weitere Ressourcen
Microsoft Azure Data ExplorerNeo4jSQLiteTeradataVirtuoso
DB-Engines Blog Posts

Applying Graph Analytics to Game of Thrones
12. Juni 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

alle anzeigen

Big gains for Relational Database Management Systems in DB-Engines Ranking
2. Februar 2016, Matthias Gelbmann

alle anzeigen

Teradata is the most popular data warehouse DBMS
2. April 2013, Paul Andlinger

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