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DBMS > Apache Druid vs. Couchbase vs. FeatureBase vs. Microsoft Azure Data Explorer vs. SpaceTime

Vergleich der Systemeigenschaften Apache Druid vs. Couchbase vs. FeatureBase vs. Microsoft Azure Data Explorer vs. SpaceTime

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenCouchbase infoUrsprünglich Membase genannt  Xaus Vergleich ausschliessenFeatureBase  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSpaceTime  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully managed big data interactive analytics platformSpaceTime ist ein Spatio-temporal DBMS mit Focus auf Performance.
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Document StoreRelational DBMSRelational DBMS infocolumn orientedSpatial DBMS
Sekundäre DatenbankmodelleKey-Value Store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Suchmaschine
Time Series DBMS
Vektor 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)
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 DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte17,30
Rang#36  Overall
#5  Document Stores
Punkte0,22
Rang#309  Overall
#139  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#7  Spatial DBMS
Websitedruid.apache.orgwww.couchbase.comwww.featurebase.comazure.microsoft.com/­services/­data-explorerwww.mireo.com/­spacetime
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.couchbase.comdocs.featurebase.comdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software Foundation and contributorsCouchbase, Inc.Molecula and Pilosa Open Source ContributorsMicrosoftMireo
Erscheinungsjahr20122011201720192020
Aktuelle Version29.0.1, April 2024Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20232022, May 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablekommerziellkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC, C++, Go and ErlangGoC++
Server BetriebssystemeLinux
OS X
Unix
Linux
OS X
Windows
Linux
macOS
gehostetLinux
Datenschemaja infoschema-less columns are supportedschemafreijaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjajaneinall fields are automatically indexednein
SQL infoSupport of SQLSQL for queryingSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL queriesKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implemented
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
gRPC
JDBC
Kafka Connector
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Python
Server-seitige Scripts infoStored ProceduresneinFunctions and timers in JavaScript and UDFs in Java, Python, SQL++Yes, possible languages: KQL, Python, Rnein
Triggersneinja infoüber das TAP Protokollneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedAutomatic ShardingShardingSharding infoImplicit feature of the cloud serviceFixed-grid hypercubes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage EnginesMulti-Source Replikation infoinklusive cross data center replication
Source-Replica Replikation
jaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Real-time block device replication (DRBD)
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency infopro Operation auswählbar
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDjaneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajayes, using Linux fsyncjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoEphemeral bucketsjaneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Azure Active Directory Authenticationja

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Weitere Ressourcen
Apache DruidCouchbase infoUrsprünglich Membase genanntFeatureBaseMicrosoft Azure Data ExplorerSpaceTime
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