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DBMS > Hazelcast vs. Microsoft Azure Data Explorer vs. TypeDB vs. Virtuoso

Vergleich der Systemeigenschaften Hazelcast vs. Microsoft Azure Data Explorer vs. TypeDB vs. Virtuoso

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
KurzbeschreibungA widely adopted in-memory data gridFully managed big data interactive analytics platformTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.Virtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellKey-Value StoreRelational DBMS infocolumn orientedGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
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
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational 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-explorertypedb.comvirtuoso.openlinksw.com
Technische Dokumentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docsdocs.openlinksw.com/­virtuoso
EntwicklerHazelcastMicrosoftVaticleOpenLink Software
Erscheinungsjahr2008201920161998
Aktuelle Version5.3.6, November 2023cloud service with continuous releases2.28.3, Juni 20247.2.11, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJavaC
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaja 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-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 strategyjaneinja
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetneinja 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
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
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
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
.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, Rneinja infoVirtuoso PL
Triggersja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicenoja
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.Synchronous replication via raftChain, 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-sparknoja
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
Fremdschlüssel inforeferenzielle Integritätneinneinnein infosubstituted by the relationship featureja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory Authenticationyes infoat REST API level; other APIs in progressFine-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 ExplorerTypeDB infoformerly named GraknVirtuoso
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» mehr
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Used 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 modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» mehr

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Weitere Ressourcen
HazelcastMicrosoft Azure Data ExplorerTypeDB infoformerly named GraknVirtuoso
Erwähnungen in aktuellen Nachrichten

Hazelcast Weaves Wider Logic Threads Through The Data Fabric
7. März 2024, Forbes

Hazelcast 5.4 real time data processing platform boosts AI and consistency
17. April 2024, VentureBeat

Hazelcast appoints Anthony Griffin as Chief Architect -
11. Juni 2024, Enterprise Times

Hazelcast Showcases Real-Time Data Platform at 2024 Gartner Summit
15. Mai 2024, Datanami

Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars
7. November 2023, Finovate

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates
31. Mai 2024, Microsoft

Update records in a Kusto Database (public preview) | Azure updates
20. Februar 2024, Microsoft

Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates
8. Januar 2024, Microsoft

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ...
5. Februar 2024, Microsoft

Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints | Azure updates
4. Dezember 2023, Microsoft

bereitgestellt von Google News

An Enterprise Data Stack Using TypeDB | by Daniel Crowe
2. September 2021, Towards Data Science

Spacecraft Engineering Models: How to Migrate UML to TypeQL
8. September 2021, hackernoon.com

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9. November 2022, Business Wire

Modelling Biomedical Data for a Drug Discovery Knowledge Graph
6. Oktober 2020, Towards Data Science

How Roche Discovered Novel Potential Gene Targets with TypeDB
8. Juni 2021, Towards Data Science

bereitgestellt von Google News



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