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DBMS > Ignite vs. Microsoft Azure Data Explorer vs. SiriDB vs. Spark SQL vs. Weaviate

Vergleich der Systemeigenschaften Ignite vs. Microsoft Azure Data Explorer vs. SiriDB vs. Spark SQL vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSiriDB  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platformOpen Source Time Series DBMSSpark SQL ist ein Spark-Modul für die Verarbeitung strukturierter DatenAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedTime Series DBMSRelational 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
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#41  Time Series DBMS
Punkte18,96
Rang#33  Overall
#20  Relational DBMS
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websiteignite.apache.orgazure.microsoft.com/­services/­data-explorersiridb.comspark.apache.org/­sqlgithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlweaviate.io/­developers/­weaviate
EntwicklerApache Software FoundationMicrosoftCesbitApache Software FoundationWeaviate B.V.
Erscheinungsjahr20152019201720142019
Aktuelle VersionApache Ignite 2.6cloud service with continuous releases3.5.0 ( 2.13), September 20231.19, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoMIT LicenseOpen Source infoApache 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++, Java, .NetCScalaGo
Server BetriebssystemeLinux
OS X
Solaris
Windows
gehostetLinuxLinux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)jajayes, 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-typesja infoNumeric datajaja 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, XSLTjajaneinneinnein
Sekundärindizesjaall fields are automatically indexedjaneinja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetneinSQL-like DML and DDL statementsGraphQL is used as query language
APIs und andere ZugriffskonzepteHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP APIJDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rneinneinnein
Triggersyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark CoreSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jakeineja
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)Spark 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
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinneinnein
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 haltenjaneinjaneinja
Berechtigungskonzept infoZugriffskontrolleSecurity Hooks for custom implementationsAzure Active Directory AuthenticationEinfache Rechteverwaltung mit BenutzeraccountsneinAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
IgniteMicrosoft Azure Data ExplorerSiriDBSpark SQLWeaviate
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
IgniteMicrosoft Azure Data ExplorerSiriDBSpark SQLWeaviate
DB-Engines Blog Posts

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

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