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DBMS > Fauna vs. HBase vs. Microsoft Azure Data Explorer vs. Weaviate

Vergleich der Systemeigenschaften Fauna vs. HBase vs. Microsoft Azure Data Explorer vs. Weaviate

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenHBase  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Wide-Column Store basierend auf Apache Hadoop und auf Konzepten von BigTableFully managed big data interactive analytics platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Wide Column StoreRelational DBMS infocolumn orientedVektor 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
Punkte1,55
Rang#154  Overall
#26  Document Stores
#14  Graph DBMS
#72  Relational DBMS
#13  Time Series DBMS
Punkte31,25
Rang#26  Overall
#2  Wide Column Stores
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte1,89
Rang#138  Overall
#4  Vektor DBMS
Websitefauna.comhbase.apache.orgazure.microsoft.com/­services/­data-explorergithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.fauna.comhbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­data-explorerweaviate.io/­developers/­weaviate
EntwicklerFauna, Inc.Apache Software Foundation infoApache Top-Level Projekt, ursprünglich entwickelt von PowersetMicrosoftWeaviate B.V.
Erscheinungsjahr2014200820192019
Aktuelle Version2.3.4, Jaenner 2021cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2kommerziellOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheScalaJavaGo
Server BetriebssystemegehostetLinux
Unix
Windows infomit Cygwin
gehostet
Datenschemaschemafreischema-free, schema definition possibleFixed schema with schema-less datatypes (dynamic)yes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinoptions to bring your own types, AVROja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja 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
Sekundärindizesjaneinall fields are automatically indexedja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLneinneinKusto Query Language (KQL), SQL subsetGraphQL is used as query language
APIs und andere ZugriffskonzepteRESTful HTTP APIJava API
RESTful HTTP API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenja infoCoprocessors in JavaYes, possible languages: KQL, Python, Rnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung infoconsistent hashingShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source ReplikationMulti-Source Replikation
Source-Replica Replikation
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDSingle row ACID (across millions of columns)neinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinja
Berechtigungskonzept infoZugriffskontrolleIdentity management, authentication, and access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAzure Active Directory AuthenticationAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
Fauna infopreviously named FaunaDBHBaseMicrosoft Azure Data ExplorerWeaviate
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...
» mehr
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» mehr
Key customersAll companies that have data. ​
» mehr
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...
» mehr

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Weitere Ressourcen
Fauna infopreviously named FaunaDBHBaseMicrosoft Azure Data ExplorerWeaviate
DB-Engines Blog Posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11. August 2021,  Krishna Maheshwari (sponsor) 

Why is Hadoop not listed in the DB-Engines Ranking?
13. Mai 2013, Paul Andlinger

alle anzeigen

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

alle anzeigen

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