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DBMS > DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. NebulaGraph vs. Realm

Vergleich der Systemeigenschaften DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. NebulaGraph vs. Realm

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNebulaGraph  Xaus Vergleich ausschliessenRealm  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 platformA distributed, linear scalable, high perfomant Graph DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedGraph DBMSDocument Store
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
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
Punkte2,23
Rang#116  Overall
#10  Graph DBMS
Punkte7,41
Rang#52  Overall
#8  Document Stores
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorergithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
realm.io
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.nebula-graph.iorealm.io/­docs
EntwicklerDolphinDB, IncMicrosoftMicrosoftVesoft Inc.Realm, acquired by MongoDB in May 2019
Erscheinungsjahr20182010201920192014
Aktuelle Versionv2.00.4, January 2022cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicensekommerziellOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source
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.
ImplementierungsspracheC++.NET and CC++
Server BetriebssystemeLinux
Windows
.NETgehostetLinuxAndroid
Backend: serverlos
iOS
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)Strong typed schemaja
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, XSLTneinneinjaneinnein
Sekundärindizesjaall fields are automatically indexedja infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.ja
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetSQL-like query languagenein
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
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietäres native API
Python Object Graph Mapper
Query language nGQL
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C++
Go
Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Ruser defined functionsnein inforuns within the applications so server-side scripts are unnecessary
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoChange Listeners
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoImplicit feature of the cloud serviceShardingkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocolkeine
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infoRelationships in graphsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
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 storagejaja infousing RocksDBja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinjaja infoIn-Memory realm
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory AuthenticationRole-based access controlja
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerNebulaGraphRealm
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» mehr
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» mehr
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» mehr
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» mehr
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» mehr
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» mehr

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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerNebulaGraphRealm
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