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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCachelot.io  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungIn-memory caching systemApache 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 platformSpark 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 StoreKey-Value Store
Relational DBMS
Relational 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
Punkte0,00
Rang#383  Overall
#60  Key-Value Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte18,96
Rang#33  Overall
#20  Relational DBMS
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websitecachelot.ioignite.apache.orgazure.microsoft.com/­services/­data-explorerspark.apache.org/­sqlgithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerspark.apache.org/­docs/­latest/­sql-programming-guide.htmlweaviate.io/­developers/­weaviate
EntwicklerApache Software FoundationMicrosoftApache Software FoundationWeaviate B.V.
Erscheinungsjahr20152015201920142019
Aktuelle VersionApache Ignite 2.6cloud service with continuous releases3.5.0 ( 2.13), September 20231.19, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0kommerziellOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++C++, Java, .NetScalaGo
Server BetriebssystemeFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
gehostetLinux
OS X
Windows
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaja 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, XSLTneinjajaneinnein
Sekundärindizesneinjaall fields are automatically indexedneinja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLneinANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statementsGraphQL is used as query language
APIs und andere ZugriffskonzepteMemcached ProtokollHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Python
R
Scala
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored Proceduresneinyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rneinnein
Triggersneinyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoImplicit feature of the cloud serviceyes, utilizing Spark CoreSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineja
MapReduce infoBietet ein API für Map/Reduce Operationenneinyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenneinjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinneinja
Berechtigungskonzept infoZugriffskontrolleneinSecurity Hooks for custom implementationsAzure Active Directory AuthenticationneinAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
Cachelot.ioIgniteMicrosoft Azure Data ExplorerSpark 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
Cachelot.ioIgniteMicrosoft Azure Data ExplorerSpark SQLWeaviate
DB-Engines Blog Posts

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