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DBMS > DolphinDB vs. Graph Engine vs. InfluxDB vs. Kyligence Enterprise vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften DolphinDB vs. Graph Engine vs. InfluxDB vs. Kyligence Enterprise vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenKyligence Enterprise  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  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 engineDBMS for storing time series, events and metricsA distributed analytics engine for big data, built on top of Apache KylinFully managed big data interactive analytics platform
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Time Series DBMSRelational DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleRelational DBMSSpatial DBMS infowith GEO packageDocument 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
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte0,46
Rang#266  Overall
#124  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.dolphindb.comwww.graphengine.iowww.influxdata.com/­products/­influxdb-overviewkyligence.io/­kyligence-enterpriseazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerDolphinDB, IncMicrosoftKyligence, Inc.Microsoft
Erscheinungsjahr20182010201320162019
Aktuelle Versionv2.00.4, January 20222.7.6, April 2024cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++.NET and CGoJava
Server BetriebssystemeLinux
Windows
.NETLinux
OS X infothrough Homebrew
Linuxgehostet
DatenschemajajaschemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinja
Sekundärindizesjaneinjaall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageneinSQL-like query languageANSI SQL for queries (using Apache Calcite)Kusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIHTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresjajaneinYes, possible languages: KQL, Python, R
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjafrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenjaneinneinnein
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 storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infoDepending on used storage engineneinnein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsEinfache Rechteverwaltung mit BenutzeraccountsAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBGraph Engine infoformer name: TrinityInfluxDBKyligence EnterpriseMicrosoft Azure Data Explorer
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityInfluxDBKyligence EnterpriseMicrosoft Azure Data Explorer
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