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DBMS > DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. PlanetScale vs. RethinkDB

Vergleich der Systemeigenschaften DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. PlanetScale vs. RethinkDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPlanetScale  Xaus Vergleich ausschliessenRethinkDB  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 platformScalable, distributed, serverless MySQL database platform built on top of VitessDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedRelational 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
Document Store
Spatial DBMS
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
Punkte1,49
Rang#155  Overall
#72  Relational DBMS
Punkte2,66
Rang#107  Overall
#20  Document Stores
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorerplanetscale.comrethinkdb.com
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerplanetscale.com/­docsrethinkdb.com/­docs
EntwicklerDolphinDB, IncMicrosoftMicrosoftPlanetScaleThe Linux Foundation infosince July 2017
Erscheinungsjahr20182010201920202009
Aktuelle Versionv2.00.4, January 2022cloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicensekommerziellkommerziellOpen Source infoApache Version 2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++.NET and CGoC++
Server BetriebssystemeLinux
Windows
.NETgehostetDocker
Linux
macOS
Linux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jaschemafrei
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 infostring, binary, float, bool, date, geometry
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetja infomit proprietären Erweiterungennein
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
ADO.NET
JDBC
MySQL protocol
ODBC
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rja infoproprietäre Syntax
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoImplicit feature of the cloud serviceShardingSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica 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
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infonicht für MyISAM Storage Enginenein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinACID at shard levelAtomic single-document operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoTable Locks oder Row Locks abhängig von Storage Engineja infoMVCC based
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 storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinjanein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder Rollenja infousers and table-level permissions

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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerPlanetScaleRethinkDB
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