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DBMS > EXASOL vs. Heroic vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Weaviate

Vergleich der Systemeigenschaften EXASOL vs. Heroic vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameEXASOL  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedRelational 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
Punkte1,99
Rang#124  Overall
#58  Relational DBMS
Punkte0,51
Rang#255  Overall
#21  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte20,56
Rang#31  Overall
#19  Relational DBMS
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websitewww.exasol.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­services/­synapse-analyticsgithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationwww.exasol.com/­resourcesspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­azure/­synapse-analyticsweaviate.io/­developers/­weaviate
EntwicklerExasolSpotifyMicrosoftMicrosoftWeaviate B.V.
Erscheinungsjahr20002014201920162019
Aktuelle Versioncloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellkommerziellOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++Go
Server Betriebssystemegehostetgehostet
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interface
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-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
Sekundärindizesjaja infovia Elasticsearchall fields are automatically indexedjaja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLjaneinKusto Query Language (KQL), SQL subsetjaGraphQL is used as query language
APIs und andere Zugriffskonzepte.Net
JDBC
ODBC
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenJava
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
PHP
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinYes, possible languages: KQL, Python, RTransact SQLnein
Triggersjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaja
MapReduce infoBietet ein API für Map/Reduce Operationenja infoHadoop integrationneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles according to SQL-standardAzure Active Directory AuthenticationjaAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
EXASOLHeroicMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWeaviate
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
EXASOLHeroicMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWeaviate
DB-Engines Blog Posts

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

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