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DBMS > Cachelot.io vs. Microsoft Azure Data Explorer vs. Milvus vs. mSQL vs. TypeDB

Vergleich der Systemeigenschaften Cachelot.io vs. Microsoft Azure Data Explorer vs. Milvus vs. mSQL vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCachelot.io  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenmSQL infoMini SQL  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungIn-memory caching systemFully managed big data interactive analytics platformA DBMS designed for efficient storage of vector data and vector similarity searchesmSQL (Mini SQL) is a simple and lightweight RDBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellKey-Value StoreRelational DBMS infocolumn orientedVektor DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
Punkte0,04
Rang#388  Overall
#62  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,78
Rang#103  Overall
#3  Vektor DBMS
Punkte1,27
Rang#169  Overall
#76  Relational DBMS
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitecachelot.ioazure.microsoft.com/­services/­data-explorermilvus.iohughestech.com.au/­products/­msqltypedb.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mdtypedb.com/­docs
EntwicklerMicrosoftHughes TechnologiesVaticle
Erscheinungsjahr20152019201919942016
Aktuelle Versioncloud service with continuous releases2.3.4, Jänner 20244.4, Oktober 20212.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen Source infoSimplified BSD LicensekommerziellOpen Source infoApache Version 2.0kommerziell infofree licenses can be providedOpen Source infoGPL Version 3, commercial licenses available
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.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheC++C++, GoCJava
Server BetriebssystemeFreeBSD
Linux
OS X
gehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesVector, Numeric and Stringjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesneinall fields are automatically indexedneinjaja
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnein
APIs und andere ZugriffskonzepteMemcached ProtokollMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte Programmiersprachen.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, Rneinneinnein
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoImplicit feature of the cloud serviceShardingkeineSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineMulti-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
keineImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaneinja
Durability infoDauerhafte Speicherung der Datenneinjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleneinAzure Active Directory AuthenticationRole based access control and fine grained access rightsneinyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Cachelot.ioMicrosoft Azure Data ExplorerMilvusmSQL infoMini SQLTypeDB infoformerly named Grakn
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» mehr
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr

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Weitere Ressourcen
Cachelot.ioMicrosoft Azure Data ExplorerMilvusmSQL infoMini SQLTypeDB infoformerly named Grakn
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