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DBMS > DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Vitess vs. Weaviate

Vergleich der Systemeigenschaften DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Vitess vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVitess  Xaus Vergleich ausschliessenWeaviate  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, cloud-native DBMS, extending MySQLAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedRelational DBMSVektor DBMS
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
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
Punkte0,88
Rang#203  Overall
#95  Relational DBMS
Punkte1,52
Rang#153  Overall
#5  Vektor DBMS
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorervitess.iogithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorervitess.io/­docsweaviate.io/­developers/­weaviate
EntwicklerDolphinDB, IncMicrosoftMicrosoftThe Linux Foundation, PlanetScaleWeaviate B.V.
Erscheinungsjahr20182010201920132019
Aktuelle Versionv2.00.4, January 2022cloud service with continuous releases15.0.2, December 20221.19, Mai 2023
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicensekommerziellOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infocommercial license available with Weaviate Enterprise
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 CGoGo
Server BetriebssystemeLinux
Windows
.NETgehostetDocker
Linux
macOS
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interface
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, int, float, geo point, date, cross reference, fuzzy references
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 infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetja infomit proprietären ErweiterungenGraphQL is used as query language
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
GraphQL query language
RESTful HTTP/JSON API
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
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rja infoproprietäre Syntaxnein
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoImplicit feature of the cloud serviceShardingSharding
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
ja
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
Eventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infonicht für MyISAM Storage Enginenein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinACID at shard levelnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoTable Locks oder Row Locks abhängig von Storage Engineja
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 haltenjajaneinjaja
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder RollenAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerVitessWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» mehr
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» mehr

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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerVitessWeaviate
DB-Engines Blog Posts

Weaviate, an ANN Database with CRUD support
2. Februar 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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