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DBMS > Hazelcast vs. Microsoft Azure Data Explorer vs. QuestDB vs. Teradata Aster vs. Virtuoso

Vergleich der Systemeigenschaften Hazelcast vs. Microsoft Azure Data Explorer vs. QuestDB vs. Teradata Aster vs. Virtuoso

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenTeradata Aster  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
KurzbeschreibungA widely adopted in-memory data gridFully managed big data interactive analytics platformA high performance open source SQL database for time series dataPlatform for big data analytics on multistructured data sources and typesVirtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellKey-Value StoreRelational DBMS infocolumn orientedTime Series DBMSRelational DBMSDocument 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
Relational DBMSSpatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Punkte4,27
Rang#73  Overall
#13  Document Stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF Stores
#9  Suchmaschinen
Websitehazelcast.comazure.microsoft.com/­services/­data-explorerquestdb.iovirtuoso.openlinksw.com
Technische Dokumentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerquestdb.io/­docsdocs.openlinksw.com/­virtuoso
EntwicklerHazelcastMicrosoftQuestDB Technology IncTeradataOpenLink Software
Erscheinungsjahr20082019201420051998
Aktuelle Version5.3.6, November 2023cloud service with continuous releases7.2.11, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
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.
ImplementierungsspracheJavaJava (Zero-GC), C++, RustC
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetLinux
macOS
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)ja infoschema-free via InfluxDB Line ProtocolFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeja 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 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 strategyjaneinja infoin Aster File Storeja
Sekundärindizesjaall fields are automatically indexedneinjaja
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetSQL with time-series extensionsjaja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzepteJCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
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
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Java
Python
R
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored Proceduresja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, RneinR packagesja infoVirtuoso PL
Triggersja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)Shardingja
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 replication with eventual consistencyja infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Chain, star, and bi-directional replication
Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja infoSQL Map-Reduce Frameworkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedneinACID for single-table writesACIDACID
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 haltenjaneinja infothrough memory mapped filesneinja
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardFine-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
HazelcastMicrosoft Azure Data ExplorerQuestDBTeradata AsterVirtuoso
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» mehr
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» mehr
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» mehr
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» mehr
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» mehr
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Broad 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 modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» mehr
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Weitere Ressourcen
HazelcastMicrosoft Azure Data ExplorerQuestDBTeradata AsterVirtuoso
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