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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenRockset  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 platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedDocument StoreDocument 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
Spatial DBMSRelational DBMS
Suchmaschine
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
Punkte2,66
Rang#107  Overall
#20  Document Stores
Punkte0,82
Rang#212  Overall
#36  Document Stores
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorerrethinkdb.comrockset.com
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docsdocs.rockset.com
EntwicklerDolphinDB, IncMicrosoftMicrosoftThe Linux Foundation infosince July 2017Rockset
Erscheinungsjahr20182010201920092019
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 LicensekommerziellOpen Source infoApache Version 2kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++.NET and CC++C++
Server BetriebssystemeLinux
Windows
.NETgehostetLinux
OS X
Windows
gehostet
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafreischemafrei
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-typesja infostring, binary, float, bool, date, geometrydynamic typing
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein infoingestion from XML files supported
Sekundärindizesjaall fields are automatically indexedjaall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetneinRead-only SQL queries, including JOINs
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
HTTP REST
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rnein
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoImplicit feature of the cloud serviceSharding inforange basedAutomatic sharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationja
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinAtomic single-document operationsnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoMVCC basedja
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 haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory Authenticationja infousers and table-level permissionsAccess rights for users and organizations can be defined via Rockset console

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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerRethinkDBRockset
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