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DBMS > DolphinDB vs. DuckDB vs. Graph Engine vs. Memgraph vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften DolphinDB vs. DuckDB vs. Graph Engine vs. Memgraph vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenDuckDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMemgraph  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.An embeddable, in-process, column-oriented SQL OLAP RDBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source graph database built for real-time streaming and compatible with Neo4jFully managed big data interactive analytics platform
Primäres DatenbankmodellTime Series DBMSRelational DBMSGraph DBMS
Key-Value Store
Graph DBMSRelational DBMS infocolumn oriented
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
Punkte4,63
Rang#69  Overall
#37  Relational DBMS
Punkte0,67
Rang#232  Overall
#21  Graph DBMS
#34  Key-Value Stores
Punkte3,19
Rang#94  Overall
#8  Graph DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.dolphindb.comduckdb.orgwww.graphengine.iomemgraph.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlduckdb.org/­docswww.graphengine.io/­docs/­manualmemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebookGitHubDiscord
EntwicklerDolphinDB, IncMicrosoftMemgraph LtdMicrosoft
Erscheinungsjahr20182018201020172019
Aktuelle Versionv2.00.4, January 20220.10, Februar 2024cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicenseOpen Source infoMIT LicenseOpen Source infoBSL 1.1; commercial license for enterprise edition availablekommerziell
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++C++.NET and CC und C++
Server BetriebssystemeLinux
Windows
serverlos.NETLinuxgehostet
Datenschemajajajaschemafrei und schema-optionalFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja 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
Sekundärindizesjajaall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagejaneinneinKusto 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
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP APIBolt protocol
Cypher query language
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
C++
F#
Visual Basic
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresjaneinjaYes, 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 Partitionierungkeinehorizontale PartitionierungSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjakeineMulti-source replication using RAFTja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja inforelationships in graphsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaACIDneinACID infowith snapshot isolationnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageja infowith periodic snapshot and write-ahead logging (WAL) of changesja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajajanein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsneinUsers, roles and permissionsAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBDuckDBGraph Engine infoformer name: TrinityMemgraphMicrosoft Azure Data Explorer
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» mehr
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» mehr
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» mehr
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» mehr

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Weitere Ressourcen
DolphinDBDuckDBGraph Engine infoformer name: TrinityMemgraphMicrosoft Azure Data Explorer
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