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DBMS > ClickHouse vs. eXtremeDB vs. InfluxDB vs. TerarkDB

Vergleich der Systemeigenschaften ClickHouse vs. eXtremeDB vs. InfluxDB vs. TerarkDB

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenTerarkDB  Xaus Vergleich ausschliessen
KurzbeschreibungA 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.Natively in-memory DBMS with options for persistency, high-availability and clusteringDBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primäres DatenbankmodellRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSKey-Value Store
Sekundäre DatenbankmodelleTime Series DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte0,00
Rang#383  Overall
#60  Key-Value Stores
Websiteclickhouse.comwww.mcobject.comwww.influxdata.com/­products/­influxdb-overviewgithub.com/­bytedance/­terarkdb
Technische Dokumentationclickhouse.com/­docswww.mcobject.com/­docs/­extremedb.htmdocs.influxdata.com/­influxdbbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
EntwicklerClickhouse Inc.McObjectByteDance, originally Terark
Erscheinungsjahr2016200120132016
Aktuelle Versionv24.4.1.2088-stable, Mai 20248.2, 20212.7.6, April 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoMIT-License; commercial enterprise version availablekommerziell inforestricted open source version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein
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.
ImplementierungsspracheC++C und C++GoC++
Server BetriebssystemeFreeBSD
Linux
macOS
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X infothrough Homebrew
Datenschemajajaschemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infosupport of XML interfaces availableneinnein
Sekundärindizesyesjaneinnein
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)ja infowith the option: eXtremeSQLSQL-like query languagenein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
HTTP API
JSON over UDP
C++ API
Java API
Unterstützte ProgrammiersprachenC# 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#
C++
Java
Lua
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Server-seitige Scripts infoStored Proceduresjajaneinnein
Triggersneinja infoby defining eventsneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customhorizontale Partitionierung / shardingSharding infoin enterprise version onlykeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Active Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
frei wählbarer Replikationsfaktor infoin enterprise version onlykeine
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infoDepending on used storage engineja
Berechtigungskonzept infoZugriffskontrolleAccess 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.Einfache Rechteverwaltung mit Benutzeraccountsnein
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseeXtremeDBInfluxDBTerarkDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
Neuigkeiten

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23. Mai 2024

What is DevRel at InfluxData
21. Mai 2024

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16. Mai 2024

What to Expect When You’re Expecting InfluxDB: A Guide
14. Mai 2024

Introduction to Apache Iceberg
9. Mai 2024

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sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
ClickHouseeXtremeDBInfluxDBTerarkDB
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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