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DBMS > Greenplum vs. Microsoft Azure Data Explorer vs. NSDb vs. SwayDB vs. Weaviate

Vergleich der Systemeigenschaften Greenplum vs. Microsoft Azure Data Explorer vs. NSDb vs. SwayDB vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGreenplum  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenSwayDB  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Fully managed big data interactive analytics platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedTime Series DBMSKey-Value StoreVektor DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial 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
Punkte8,37
Rang#48  Overall
#30  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#41  Time Series DBMS
Punkte0,00
Rang#382  Overall
#59  Key-Value Stores
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websitegreenplum.orgazure.microsoft.com/­services/­data-explorernsdb.ioswaydb.simer.augithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.greenplum.orgdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architectureweaviate.io/­developers/­weaviate
EntwicklerPivotal Software Inc.MicrosoftSimer PlahaWeaviate B.V.
Erscheinungsjahr20052019201720182019
Aktuelle Version7.0.0, September 2023cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open 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.
ImplementierungsspracheJava, ScalaScalaGo
Server BetriebssystemeLinuxgehostetLinux
macOS
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, stringneinja 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, XSLTja infoseit Version 4.2janeinneinnein
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 ZugriffskonzepteJDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenC
Java
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
Java
Kotlin
Scala
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Rneinneinnein
Triggersjaja 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 serviceShardingkeineSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineja
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 ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinAtomic execution of operationsnein
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 AuthenticationneinAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
GreenplumMicrosoft Azure Data ExplorerNSDbSwayDBWeaviate
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...
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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
GreenplumMicrosoft Azure Data ExplorerNSDbSwayDBWeaviate
DB-Engines Blog Posts

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

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