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DBMS > Apache Druid vs. ClickHouse vs. Memcached vs. Microsoft Azure Data Explorer vs. ToroDB

Vergleich der Systemeigenschaften Apache Druid vs. ClickHouse vs. Memcached vs. Microsoft Azure Data Explorer vs. ToroDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenMemcached  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenToroDB  Xaus Vergleich ausschliessen
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA 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.In-memory Key-Value Store, ursprünglich entwickelt für CachingFully managed big data interactive analytics platformA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Relational DBMSKey-Value StoreRelational DBMS infocolumn orientedDocument Store
Sekundäre DatenbankmodelleTime Series DBMSDocument 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
Punkte3,29
Rang#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Punkte16,20
Rang#37  Overall
#23  Relational DBMS
Punkte20,74
Rang#32  Overall
#4  Key-Value Stores
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Websitedruid.apache.orgclickhouse.comwww.memcached.orgazure.microsoft.com/­services/­data-explorergithub.com/­torodb/­server
Technische Dokumentationdruid.apache.org/­docs/­latest/­designclickhouse.com/­docsgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software Foundation and contributorsClickhouse Inc.Danga Interactive infoursprünglich von Brad Fitzpatrick für LiveJournal entwickeltMicrosoft8Kdata
Erscheinungsjahr20122016200320192016
Aktuelle Version29.0.1, April 2024v24.3.2.23-lts, April 20241.6.25, Maerz 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBSD LizenzkommerziellOpen Source infoAGPL-V3
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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheJavaC++CJava
Server BetriebssystemeLinux
OS X
Unix
FreeBSD
Linux
macOS
FreeBSD
Linux
OS X
Unix
Windows
gehostetAlle Betriebssysteme mit einer Java 7 VM
Datenschemaja infoschema-less columns are supportedjaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, integer, double, boolean, date, object_id
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjayesneinall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingClose to ANSI SQL (SQL/JSON + extensions)neinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Propriätäres ProtokollMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C# 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++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinjaneinYes, possible languages: KQL, Python, R
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedkey based and customkeineSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage EnginesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.keine infoRepcached, ein Memcached Patch, liefert Replicationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaneinjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess 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.ja infomittels SASL (Simple Authentication and Security Layer) ProtokollAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen

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Weitere Ressourcen
Apache DruidClickHouseMemcachedMicrosoft Azure Data ExplorerToroDB
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