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DBMS > Apache Jena - TDB vs. ClickHouse vs. Hazelcast vs. Hyprcubd vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Apache Jena - TDB vs. ClickHouse vs. Hazelcast vs. Hyprcubd vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Jena - TDB  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenHyprcubd  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
KurzbeschreibungApache Jena ist ein RDF store, der im Apache Jena Framework mitgeliefert wird und zur Persistierung und Abfrage von RDF Triplen verwendet werden kannA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.A widely adopted in-memory data gridServerless Time Series DBMSFully managed big data interactive analytics platform
Primäres DatenbankmodellRDF StoreRelational DBMSKey-Value StoreTime Series DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleTime Series DBMSDocument 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,62
Rang#83  Overall
#3  RDF Stores
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlclickhouse.comhazelcast.comhyprcubd.com (offline)azure.microsoft.com/­services/­data-explorer
Technische Dokumentationjena.apache.org/­documentation/­tdb/­index.htmlclickhouse.com/­docshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software Foundation infoursprünglich von HP Labs entwickeltClickhouse Inc.HazelcastHyprcubd, Inc.Microsoft
Erscheinungsjahr2000201620082019
Aktuelle Version4.9.0, Juli 2023v24.4.1.2088-stable, Mai 20245.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache Lizenz, Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheJavaC++JavaGo
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMFreeBSD
Linux
macOS
Alle Betriebssysteme mit einer Java VMgehostetgehostet
Datenschemaja infoRDF SchemasjaschemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infotime, int, uint, float, stringja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infothe object must implement a serialization strategyneinja
Sekundärindizesjayesjaneinall fields are automatically indexed
SQL infoSupport of SQLneinClose to ANSI SQL (SQL/JSON + extensions)SQL-like query languageSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
JCache
JPA
Memcached Protokoll
RESTful HTTP API
gRPC (https)Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenJavaC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresjajaja infoEvent Listeners, Executor ServicesneinYes, possible languages: KQL, Python, R
Triggersja infoüber Event Handerneinja infoEventsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinekey based and customShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.ja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoTDB Transactionsneinone or two-phase-commit; repeatable reads; read commitedneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaneinja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess control via Jena SecurityAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Role-based access controltoken accessAzure Active Directory Authentication

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Weitere Ressourcen
Apache Jena - TDBClickHouseHazelcastHyprcubdMicrosoft Azure Data Explorer
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