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DBMS > EsgynDB vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. TypeDB vs. Weaviate

Vergleich der Systemeigenschaften EsgynDB vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. TypeDB vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameEsgynDB  Xaus Vergleich ausschliessenHyprcubd  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
KurzbeschreibungEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionServerless Time Series DBMSFully managed big data interactive analytics platformTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Vektor 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
Punkte0,25
Rang#312  Overall
#138  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Punkte1,52
Rang#153  Overall
#5  Vektor DBMS
Websitewww.esgyn.cnhyprcubd.com (offline)azure.microsoft.com/­services/­data-explorertypedb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docsweaviate.io/­developers/­weaviate
EntwicklerEsgynHyprcubd, Inc.MicrosoftVaticleWeaviate B.V.
Erscheinungsjahr2015201920162019
Aktuelle Versioncloud service with continuous releases2.26.3, Jaenner 20241.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoGPL Version 3, commercial licenses availableOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++, JavaGoJavaGo
Server BetriebssystemeLinuxgehostetgehostetLinux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infotime, int, uint, float, stringja 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, XSLTneinneinjaneinnein
Sekundärindizesjaneinall fields are automatically indexedjaja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLjaSQL-like query languageKusto Query Language (KQL), SQL subsetneinGraphQL is used as query language
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
gRPC (https)Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresJava Stored ProceduresneinYes, possible languages: KQL, Python, Rneinnein
Triggersneinneinja 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 serviceSharding infoby using CassandraSharding
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.Multi-Source Replikation infoby using Cassandraja
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja infoby using Apache Kafka and Apache Zookeepernein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinnein infosubstituted by the relationship featurenein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaneinjajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinneinneinja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardtoken accessAzure Active Directory Authenticationyes infoat REST API level; other APIs in progressAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
EsgynDBHyprcubdMicrosoft Azure Data ExplorerTypeDB infoformerly named GraknWeaviate
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
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As 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 modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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Weitere Ressourcen
EsgynDBHyprcubdMicrosoft Azure Data ExplorerTypeDB infoformerly named GraknWeaviate
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