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DBMS > Hazelcast vs. Microsoft Azure Data Explorer vs. SingleStore vs. Sphinx vs. UniData,UniVerse

Vergleich der Systemeigenschaften Hazelcast vs. Microsoft Azure Data Explorer vs. SingleStore vs. Sphinx vs. UniData,UniVerse

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenSphinx  Xaus Vergleich ausschliessenUniData,UniVerse  Xaus Vergleich ausschliessen
KurzbeschreibungA widely adopted in-memory data gridFully managed big data interactive analytics platformMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen Source Suchmaschine zum Suchen in Daten aus verschiedenen Quellen, u.a. relationalen DatenbankenMultiValue DBMS und Application Server mit SQL Mapping Layer
Primäres DatenbankmodellKey-Value StoreRelational DBMS infocolumn orientedRelational DBMSSuchmaschineMultivalue DBMS
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte5,60
Rang#62  Overall
#35  Relational DBMS
Punkte5,98
Rang#56  Overall
#5  Suchmaschinen
Punkte3,16
Rang#97  Overall
#2  Multivalue DBMS
Websitehazelcast.comazure.microsoft.com/­services/­data-explorerwww.singlestore.comsphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technische Dokumentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.comsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
EntwicklerHazelcastMicrosoftSingleStore Inc.Sphinx Technologies Inc.Rocket Software
Erscheinungsjahr20082019201320011985
Aktuelle Version5.3.6, November 2023cloud service with continuous releases8.5, Jänner 20243.5.1, Februar 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziellkommerziell infofree developer edition availableOpen Source infoGPL Version 2, kommerzielle Lizenz erhältlichkommerziell
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheJavaC++, GoC++C
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetLinux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jajaschemafrei
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-typesjaneinoptional
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja infothe object must implement a serialization strategyjanein
Sekundärindizesjaall fields are automatically indexedjaja infoFull-Text Index auf allen Suchfeldernja
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)ja
APIs und andere ZugriffskonzepteJCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietäres ProtokollJava API infoJPA
JDBC
ODBC
OLE DB
Propriätäres Protokoll
RESTful HTTP API
SOAP-basiertes API
Unterstützte Programmiersprachen.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infoinoffizielle Client Library
Java
Perl infoinoffizielle Client Library
PHP
Python
Ruby infoinoffizielle Client Library
.Net
Basic infoU2 Basic
C
Java
Server-seitige Scripts infoStored Proceduresja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rjaneinja
Triggersja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinja infoU2 Basic
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceSharding infohash partitioningSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.keine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infostores two copies of each physical data partition on two separate nodeskeineSource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculationsneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedneinACIDneinACID infokonfigurierbar
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajayes, multi-version concurrency control (MVCC)jaja
Durability infoDauerhafte Speicherung der Datenjajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.ja infoDer Originalinhalt von Feldern wird nicht im Sphinx-Index gespeichert.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationFine grained access control via users, groups and rolesneinBenutzer mit Berechtigungskonzept entsprechend SQL-Standard und betriebssystem-basiert
Weitere Informationen bereitgestellt vom Systemhersteller
HazelcastMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLSphinxUniData,UniVerse
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsCustomers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
HazelcastMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLSphinxUniData,UniVerse
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