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DBMS > ClickHouse vs. Fauna vs. InfluxDB vs. Splice Machine vs. TerarkDB

Vergleich der Systemeigenschaften ClickHouse vs. Fauna vs. InfluxDB vs. Splice Machine vs. TerarkDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenSplice Machine  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.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.DBMS for storing time series, events and metricsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA 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 DBMSDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSRelational 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
Punkte1,52
Rang#153  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte0,54
Rang#250  Overall
#114  Relational DBMS
Punkte0,00
Rang#383  Overall
#60  Key-Value Stores
Websiteclickhouse.comfauna.comwww.influxdata.com/­products/­influxdb-overviewsplicemachine.comgithub.com/­bytedance/­terarkdb
Technische Dokumentationclickhouse.com/­docsdocs.fauna.comdocs.influxdata.com/­influxdbsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
EntwicklerClickhouse Inc.Fauna, Inc.Splice MachineByteDance, originally Terark
Erscheinungsjahr20162014201320142016
Aktuelle Versionv24.4.1.2088-stable, Mai 20242.7.6, April 20243.1, March 2021
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoAGPL 3.0, commercial license availablekommerziell inforestricted open source version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ImplementierungsspracheC++ScalaGoJavaC++
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetLinux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
Datenschemajaschemafreischemafreijaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinNumeric data and Stringsjanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesyesjaneinjanein
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinSQL-like query languagejanein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
RESTful HTTP APIHTTP API
JSON over UDP
JDBC
Native Spark Datasource
ODBC
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
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-seitige Scripts infoStored Proceduresjabenutzerdefinierte Funktionenneinja infoJavanein
Triggersneinneinneinjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customhorizontale Partitionierung infoconsistent hashingSharding infoin enterprise version onlyShared Nothhing Auto-Sharding, Columnar Partitioningkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-Source Replikationfrei wählbarer Replikationsfaktor infoin enterprise version onlyMulti-Source Replikation
Source-Replica Replikation
keine
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinYes, via Full Spark Integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoDepending on used storage enginejaja
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.Identity management, authentication, and access controlEinfache Rechteverwaltung mit BenutzeraccountsAccess rights for users, groups and roles according to SQL-standardnein
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseFauna infopreviously named FaunaDBInfluxDBSplice MachineTerarkDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
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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
ClickHouseFauna infopreviously named FaunaDBInfluxDBSplice MachineTerarkDB
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
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1. Juni 2015, Paul Andlinger

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