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DBMS > DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Trino vs. Virtuoso

Vergleich der Systemeigenschaften DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Trino vs. Virtuoso

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTrino  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
KurzbeschreibungDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully managed big data interactive analytics platformFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLVirtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedRelational DBMSDocument Store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF Store
Suchmaschine
Sekundäre DatenbankmodelleRelational 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
Document Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,03
Rang#78  Overall
#6  Time Series DBMS
Punkte0,67
Rang#232  Overall
#21  Graph DBMS
#34  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,99
Rang#65  Overall
#36  Relational DBMS
Punkte4,27
Rang#73  Overall
#13  Document Stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF Stores
#9  Suchmaschinen
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorertrino.iovirtuoso.openlinksw.com
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorertrino.io/­broadcast
trino.io/­docs/­current
docs.openlinksw.com/­virtuoso
Social network pagesLinkedInTwitterYouTubeGitHub
EntwicklerDolphinDB, IncMicrosoftMicrosoftTrino Software FoundationOpenLink Software
Erscheinungsjahr2018201020192012 info2020 rebranded from PrestoSQL1998
Aktuelle Versionv2.00.4, January 2022cloud service with continuous releases7.2.11, September 2023
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicensekommerziellOpen Source infoApache Version 2.0Open Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
ImplementierungsspracheC++.NET and CJavaC
Server BetriebssystemeLinux
Windows
.NETgehostetLinux
macOS infofor devlopment
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jaja 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 datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinja
Sekundärindizesjaall fields are automatically indexeddepending on connected data-sourceja
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetjaja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzepteJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
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 ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Ryes, depending on connected data-sourceja infoVirtuoso PL
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoImplicit feature of the cloud servicedepending on connected data-sourceja
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.depending on connected data-sourceChain, star, and bi-directional replication
Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
depending on connected data-sourceImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenjaneinneindepending on connected data-sourceACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejadepending on connected data-sourceja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory AuthenticationSQL standard access controlFine-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
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerTrinoVirtuoso
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» mehr
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» mehr
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» mehr
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» mehr
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» mehr
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» mehr
Key customersTrino is widely adopted across the globe as freely-available open source software....
» mehr
Broad use across enterprises and governments including — European Union (EU) US Government...
» mehr
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» mehr
Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» mehr
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» mehr
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» mehr
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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerTrinoVirtuoso
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