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DBMS > Kinetica vs. Microsoft Azure Data Explorer vs. mSQL vs. MySQL vs. TypeDB

Vergleich der Systemeigenschaften Kinetica vs. Microsoft Azure Data Explorer vs. mSQL vs. MySQL vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameKinetica  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenmSQL infoMini SQL  Xaus Vergleich ausschliessenMySQL  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungFully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platformmSQL (Mini SQL) is a simple and lightweight RDBMSWeit verbreitetes, allgemein einsetzbares Open Source RDBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedRelational DBMSRelational DBMS infoKey/Value Zugriff über memcached APIGraph 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)
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
Document Store
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,55
Rang#230  Overall
#110  Relational DBMS
Punkte7,30
Rang#60  Overall
#34  Relational DBMS
Punkte1,74
Rang#132  Overall
#65  Relational DBMS
Punkte1202,85
Rang#2  Overall
#2  Relational DBMS
Punkte0,82
Rang#194  Overall
#18  Graph DBMS
#91  Relational DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­data-explorerhughestech.com.au/­products/­msqlwww.mysql.comvaticle.com
Technische Dokumentationwww.kinetica.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­docdocs.vaticle.com
EntwicklerKineticaMicrosoftHughes TechnologiesOracle infoseit 2010, ursprünglich MySQL AB, danach SunVaticle (formerly Grakn Labs)
Erscheinungsjahr20122019199419952016
Aktuelle Version7.1, August 2021cloud service with continuous releases4.4, Oktober 20218.0.30, Juli 20222.11.0, Juni 2022
Lizenz infoCommercial or Open Sourcekommerziellkommerziellkommerziell infofree licenses can be providedOpen Source infoGPL Version 2. Kommerzielle Lizenzen mit erweiterter Funktionalität sind verfügbar.Open 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.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
ImplementierungsspracheC, C++CC und C++Java
Server BetriebssystemeLinuxgehostetAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)jajaja
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-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinjanein
Sekundärindizesjaall fields are automatically indexedjajaja
SQL infoSupport of SQLSQL-like DML and DDL statementsKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersja infomit proprietären Erweiterungennein
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietäres native API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte ProgrammiersprachenC++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rneinja infoproprietäre Syntaxnein
Triggersja infotriggers when inserted values for one or more columns fall within a specified rangeja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicekeinehorizontale Partitionierung, Sharding mit MySQL Cluster oder MySQL FabricSharding infoby using Cassandra
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.keineMulti-Source Replikation
Source-Replica Replikation
Multi-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
keineImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinja infonicht für MyISAM Storage Enginenein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinACID infonicht für MyISAM Storage EngineACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaneinja infoTable Locks oder Row Locks abhängig von Storage Engineja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoGPU vRAM or System RAMneinneinjanein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen auf TabellenebeneAzure Active Directory AuthenticationneinBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder Rollenyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
KineticaMicrosoft Azure Data ExplorermSQL infoMini SQLMySQLTypeDB infoformerly named Grakn
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» mehr
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» mehr
Meet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» mehr
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» mehr
Kusto Query Language (innovative query language, optimized for high performance data...
» mehr
Entity-Relationship Model TypeDB allows you to model your domain using the well-known...
» mehr
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» mehr
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» mehr
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» mehr
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» mehr
Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» mehr
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» mehr
An Azure Data Explorer cluster is a pair of engine and data management clusters which...
» mehr
AGPL and Commercial . The commercial license is priced based on cluster resources...
» mehr

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KineticaMicrosoft Azure Data ExplorermSQL infoMini SQLMySQLTypeDB infoformerly named Grakn
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