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DBMS > Elasticsearch vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Milvus vs. YDB

Vergleich der Systemeigenschaften Elasticsearch vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Milvus vs. YDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameElasticsearch  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenYDB  Xaus Vergleich ausschliessen
KurzbeschreibungEine moderne Such- und Analyseplattform basierend auf Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully managed big data interactive analytics platformA DBMS designed for efficient storage of vector data and vector similarity searchesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primäres DatenbankmodellSuchmaschineGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedVektor DBMSDocument Store
Relational DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Vektor DBMS
Document 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
Punkte135,35
Rang#7  Overall
#1  Suchmaschinen
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,31
Rang#113  Overall
#3  Vektor DBMS
Punkte0,35
Rang#278  Overall
#43  Document Stores
#127  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.graphengine.ioazure.microsoft.com/­services/­data-explorermilvus.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technische Dokumentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mdydb.tech/­en/­docs
EntwicklerElasticMicrosoftMicrosoftYandex
Erscheinungsjahr20102010201920192019
Aktuelle Version8.6, January 2023cloud service with continuous releases2.3.4, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoMIT LicensekommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
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.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheJava.NET and CC++, Go
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM.NETgehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Datenschemaschemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.jaFixed schema with schema-less datatypes (dynamic)Flexible Schema (defined schema, partial schema, schema free)
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-typesVector, Numeric and Stringja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesja infoAlle Suchfelder werden automatisch indiziertall fields are automatically indexedneinja
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetneinSQL-like query language (YQL)
APIs und andere ZugriffskonzepteJava API
RESTful HTTP/JSON API
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Unterstützte Programmiersprachen.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rneinnein
Triggersja infoMittels Verwendung des 'Percolation' featuresneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardinghorizontale 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.Active-passive shard replication
MapReduce infoBietet ein API für Map/Reduce OperationenES-Hadoop ConnectorSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, allEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinneinACID
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 haltenMemcached and Redis integrationjaneinjanein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationRole based access control and fine grained access rightsAccess rights defined for Yandex Cloud users
Weitere Informationen bereitgestellt vom Systemhersteller
ElasticsearchGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerMilvusYDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr

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Weitere Ressourcen
ElasticsearchGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerMilvusYDB
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