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DBMS > EsgynDB vs. Microsoft Azure Data Explorer vs. NSDb vs. Warp 10 vs. Weaviate

Vergleich der Systemeigenschaften EsgynDB vs. Microsoft Azure Data Explorer vs. NSDb vs. Warp 10 vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameEsgynDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenWarp 10  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully managed big data interactive analytics platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedTime Series DBMSTime Series DBMSVektor DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte0,16
Rang#329  Overall
#146  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#41  Time Series DBMS
Punkte0,07
Rang#349  Overall
#32  Time Series DBMS
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websitewww.esgyn.cnazure.microsoft.com/­services/­data-explorernsdb.iowww.warp10.iogithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturewww.warp10.io/­content/­02_Getting_startedweaviate.io/­developers/­weaviate
EntwicklerEsgynMicrosoftSenXWeaviate B.V.
Erscheinungsjahr20152019201720152019
Aktuelle Versioncloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++, JavaJava, ScalaJavaGo
Server BetriebssystemeLinuxgehostetLinux
macOS
Linux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)schemafreiyes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes: int, bigint, decimal, stringjaja 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, XSLTneinjaneinneinnein
Sekundärindizesjaall fields are automatically indexedall fields are automatically indexedneinja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLjaKusto Query Language (KQL), SQL subsetSQL-like query languageneinGraphQL is used as query language
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
HTTP API
Jupyter
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresJava Stored ProceduresYes, possible languages: KQL, Python, Rneinja infoWarpScriptnein
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceShardingSharding infobasierend auf HBaseSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication between multi datacentersja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infobasierend auf HBaseja
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infobasierend auf HBaseEventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenjajaUsing Apache Lucenejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjaja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationMandatory use of cryptographic tokens, containing fine-grained authorizationsAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
EsgynDBMicrosoft Azure Data ExplorerNSDbWarp 10Weaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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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...
» mehr
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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Weitere Ressourcen
EsgynDBMicrosoft Azure Data ExplorerNSDbWarp 10Weaviate
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Weaviate, an ANN Database with CRUD support
2. Februar 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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