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DBMS > Apache Druid vs. Apache IoTDB vs. Databricks vs. GraphDB vs. Hawkular Metrics

Vergleich der Systemeigenschaften Apache Druid vs. Apache IoTDB vs. Databricks vs. GraphDB vs. Hawkular Metrics

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenApache IoTDB  Xaus Vergleich ausschliessenDatabricks  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenHawkular Metrics  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Time Series DBMSDocument Store
Relational DBMS
Graph DBMS
RDF Store
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,85
Rang#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Punkte1,31
Rang#159  Overall
#14  Time Series DBMS
Punkte84,24
Rang#14  Overall
#2  Document Stores
#9  Relational DBMS
Punkte2,76
Rang#99  Overall
#8  Graph DBMS
#4  RDF Stores
Punkte0,01
Rang#377  Overall
#39  Time Series DBMS
Websitedruid.apache.orgiotdb.apache.orgwww.databricks.comwww.ontotext.comwww.hawkular.org
Technische Dokumentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comgraphdb.ontotext.com/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerApache Software Foundation and contributorsApache Software FoundationDatabricksOntotextCommunity supported by Red Hat
Erscheinungsjahr20122018201320002014
Aktuelle Version30.0.0, Juni 20241.1.0, April 202310.4, Oktober 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0kommerziellkommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0
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.
ImplementierungsspracheJavaJavaJavaJava
Server BetriebssystemeLinux
OS X
Unix
Alle Betriebssysteme mit einer Java VM (>=1.8)gehostetAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
OS X
Windows
Datenschemaja infoschema-less columns are supportedjaFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjajajayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnein
SQL infoSupport of SQLSQL for queryingSQL-like query languagewith Databricks SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnein
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP REST
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
Python
R
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
Server-seitige Scripts infoStored Proceduresneinjabenutzerdefinierte Funktionenwell-defined plugin interfaces; JavaScript server-side extensibilitynein
Triggersneinjaneinja infovia Hawkular Alerting
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)keineSharding infobasierend auf Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasjaMulti-Source Replikationfrei wählbarer Replikationsfaktor infobasierend auf Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenneinIntegration with Hadoop and Sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Fremdschlüssel inforeferenzielle Integritätneinneinja infoConstraint checkingnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACIDnein
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 haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemjaDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nein
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidApache IoTDBDatabricksGraphDB infoUrsprünglicher Name: OWLIMHawkular Metrics
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» mehr
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Neuigkeiten

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11. September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30. August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23. August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22. August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16. August 2024

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Weitere Ressourcen
Apache DruidApache IoTDBDatabricksGraphDB infoUrsprünglicher Name: OWLIMHawkular Metrics
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