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DBMS > Apache Druid vs. Elasticsearch vs. Microsoft Azure Data Explorer vs. RocksDB

Vergleich der Systemeigenschaften Apache Druid vs. Elasticsearch vs. Microsoft Azure Data Explorer vs. RocksDB

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenElasticsearch  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEine moderne Such- und Analyseplattform basierend auf Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFully managed big data interactive analytics platformEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
SuchmaschineRelational DBMS infocolumn orientedKey-Value Store
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Document 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)
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
Punkte2,81
Rang#100  Overall
#51  Relational DBMS
#6  Time Series DBMS
Punkte154,71
Rang#8  Overall
#1  Suchmaschinen
Punkte4,95
Rang#70  Overall
#39  Relational DBMS
Punkte3,58
Rang#87  Overall
#14  Key-Value Stores
Websitedruid.apache.orgwww.elastic.co/­elasticsearchazure.microsoft.com/­services/­data-explorerrocksdb.org
Technische Dokumentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­facebook/­rocksdb/­wiki
EntwicklerApache Software Foundation and contributorsElasticMicrosoftFacebook, Inc.
Erscheinungsjahr2012201020192013
Aktuelle Version0.21.0, April 20217.8.0, Juni 2020cloud service with continuous releases6.20.3, Mai 2021
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Elastic LicensekommerziellOpen Source infoBSD
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
ImplementierungsspracheJavaJavaC++
Server BetriebssystemeLinux
OS X
Unix
Alle Betriebssysteme mit einer Java VMgehostet
Datenschemaja infoschema-less columns are supportedschemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.Fixed schema with schema-less datatypes (dynamic)schemafrei
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-typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjaja infoAlle Suchfelder werden automatisch indiziertall fields are automatically indexednein
SQL infoSupport of SQLSQL for queryingSQL-like query languageKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
C++ API
Java API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
Server-seitige Scripts infoStored ProceduresneinjaYes, possible languages: KQL, Python, Rnein
Triggersneinja infoMittels Verwendung des 'Percolation' featuresja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce OperationenneinES-Hadoop Connectorneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, allEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinneinja
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 haltenneinMemcached and Redis integrationneinja
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidElasticsearchMicrosoft Azure Data ExplorerRocksDB
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» mehr
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» mehr
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» mehr
Kusto Query Language (innovative query language, optimized for high performance data...
» mehr
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» mehr
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» mehr
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» mehr
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» mehr
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» mehr
Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» mehr
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» mehr

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Weitere Ressourcen
Apache DruidElasticsearchMicrosoft Azure Data ExplorerRocksDB
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