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DBMS > Hazelcast vs. Ignite vs. Microsoft Azure Data Explorer vs. Sqrrl vs. Virtuoso

Vergleich der Systemeigenschaften Hazelcast vs. Ignite vs. Microsoft Azure Data Explorer vs. Sqrrl vs. Virtuoso

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessenVirtuoso  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 gridApache 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 platformAdaptable, secure NoSQL built on Apache AccumuloVirtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellKey-Value StoreKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Document Store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF Store
Suchmaschine
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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,26
Rang#78  Overall
#13  Document Stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF Stores
#9  Suchmaschinen
Websitehazelcast.comignite.apache.orgazure.microsoft.com/­services/­data-explorersqrrl.comvirtuoso.openlinksw.com
Technische Dokumentationhazelcast.org/­imdg/­docsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.openlinksw.com/­virtuoso
EntwicklerHazelcastApache Software FoundationMicrosoftAmazon infoursprünglich Sqrrl Data, Inc.OpenLink Software
Erscheinungsjahr20082015201920121998
Aktuelle Version5.3.6, November 2023Apache Ignite 2.6cloud service with continuous releases7.2.11, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
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.
ImplementierungsspracheJavaC++, Java, .NetJavaC
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMLinux
OS X
Solaris
Windows
gehostetLinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)schemafreija infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
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 strategyjajaja
Sekundärindizesjajaall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetneinja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzepteJCache
JPA
Memcached Protokoll
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Unterstützte Programmiersprachen.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored Proceduresja infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rneinja infoVirtuoso PL
Triggersja infoEventsyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoBasierend auf Hadoopja
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoReplicated Mapyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infobasierend auf HadoopChain, star, and bi-directional replication
Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenjayes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkjaja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedACIDneinAtomic updates per row, document, or graph entityACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleRole-based access controlSecurity Hooks for custom implementationsAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Fine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
HazelcastIgniteMicrosoft Azure Data ExplorerSqrrlVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» mehr
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» mehr
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» mehr
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» mehr
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» mehr
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» mehr

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Weitere Ressourcen
HazelcastIgniteMicrosoft Azure Data ExplorerSqrrlVirtuoso
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