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DBMS > Hazelcast vs. Microsoft Azure Data Explorer vs. RDF4J vs. Sqrrl vs. TDengine

Vergleich der Systemeigenschaften Hazelcast vs. Microsoft Azure Data Explorer vs. RDF4J vs. Sqrrl vs. TDengine

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessenTDengine  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungA widely adopted in-memory data gridFully managed big data interactive analytics platformRDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.Adaptable, secure NoSQL built on Apache AccumuloTime Series DBMS and big data platform
Primäres DatenbankmodellKey-Value StoreRelational DBMS infocolumn orientedRDF StoreDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Time Series 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
Relational 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
Punkte0,69
Rang#230  Overall
#9  RDF Stores
Punkte2,60
Rang#107  Overall
#8  Time Series DBMS
Websitehazelcast.comazure.microsoft.com/­services/­data-explorerrdf4j.orgsqrrl.comgithub.com/­taosdata/­TDengine
tdengine.com
Technische Dokumentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerrdf4j.org/­documentationdocs.tdengine.com
EntwicklerHazelcastMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Amazon infoursprünglich Sqrrl Data, Inc.TDEngine, previously Taos Data
Erscheinungsjahr20082019200420122019
Aktuelle Version5.3.6, November 2023cloud service with continuous releases3.0, August 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoEclipse Distribution License (EDL), v1.0.kommerziellOpen Source infoAGPL V3, also commercial editions 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.
ImplementierungsspracheJavaJavaJavaC
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Unix
Windows
LinuxLinux
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)ja infoRDF Schemasschemafreija
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, XSLTja infothe object must implement a serialization strategyjanein
Sekundärindizesjaall fields are automatically indexedjajanein
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetneinneinStandard SQL with extensions for time-series applications
APIs und andere ZugriffskonzepteJCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rjaneinnein
Triggersja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaneinyes, via alarm monitoring
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicekeineSharding infoBasierend auf HadoopSharding
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.keinefrei wählbarer Replikationsfaktor infobasierend auf Hadoopja
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja
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 infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedneinACID infoIsolation abhängig vom verwendeten APIAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoIn-memory Storage wird ebenfalls unterstütztjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjanein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationneinCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes
Weitere Informationen bereitgestellt vom Systemhersteller
HazelcastMicrosoft Azure Data ExplorerRDF4J infoformerly known as SesameSqrrlTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» mehr
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» mehr
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» mehr
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» mehr
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» mehr
Neuigkeiten

Seamless Data Integration from MQTT and InfluxDB to TDengine
22. Mai 2024

Solving Long Query Performance Bottlenecks
22. Mai 2024

What Is Predictive Maintenance?
17. Mai 2024

Can Typical Time-Series Databases Replace Data Historians?
8. Mai 2024

TDengine 3.3.0.0 Release Notes
7. Mai 2024

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Weitere Ressourcen
HazelcastMicrosoft Azure Data ExplorerRDF4J infoformerly known as SesameSqrrlTDengine
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bereitgestellt von Google News

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bereitgestellt von Google News

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23. Januar 2018, CNBC

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24. Januar 2018, TechCrunch

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