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DBMS > ClickHouse vs. Google Cloud Bigtable vs. InfluxDB vs. ObjectBox

Vergleich der Systemeigenschaften ClickHouse vs. Google Cloud Bigtable vs. InfluxDB vs. ObjectBox

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenObjectBox  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.DBMS for storing time series, events and metricsExtremely fast embedded database for small devices, IoT and Mobile
Primäres DatenbankmodellRelational DBMSKey-Value Store
Wide Column Store
Time Series DBMSObject oriented DBMS
Sekundäre DatenbankmodelleTime Series DBMSSpatial DBMS infowith GEO packageTime Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte1,20
Rang#170  Overall
#5  Object oriented DBMS
Websiteclickhouse.comcloud.google.com/­bigtablewww.influxdata.com/­products/­influxdb-overviewobjectbox.io
Technische Dokumentationclickhouse.com/­docscloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbdocs.objectbox.io
EntwicklerClickhouse Inc.GoogleObjectBox Limited
Erscheinungsjahr2016201520132017
Aktuelle Versionv24.3.2.23-lts, April 20242.7.6, April 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache License 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ImplementierungsspracheC++GoC und C++
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetLinux
OS X infothrough Homebrew
Android
iOS
Linux
macOS
Windows
Datenschemajaschemafreischemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinNumeric data and Stringsja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesyesneinneinja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinSQL-like query languagenein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
Proprietäres native 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#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-seitige Scripts infoStored Proceduresjaneinneinnein
Triggersneinneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingSharding 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.Internal replication in Colossus, and regional replication between two clusters in different zonesfrei wählbarer Replikationsfaktor infoin enterprise version onlyonline/offline synchronization between client and server
MapReduce infoBietet ein API für Map/Reduce Operationenneinjaneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinAtomic single-row operationsneinACID
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 haltenjaneinja infoDepending on used storage enginenein
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.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Einfache Rechteverwaltung mit Benutzeraccountsja
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseGoogle Cloud BigtableInfluxDBObjectBox
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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26. April 2024

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8. April 2024

Infrastructure Monitoring Basics: Getting Started with Telegraf, InfluxDB, and Grafana
5. April 2024

Comparing Dates in Java: A Tutorial
3. April 2024

Edge AI: The era of on-device AI
23. April 2024

In-Memory Database Use Cases
15. Februar 2024

Data Viewer for Objects – announcing ObjectBox Admin
14. November 2023

Vector Databases for Edge AI
9. August 2023

Vector Database Release for Flutter / Dart + Python
13. Juni 2023

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

Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

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

Weitere Ressourcen
ClickHouseGoogle Cloud BigtableInfluxDBObjectBox
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

alle anzeigen

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