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DBMS > ClickHouse vs. GBase vs. Google Cloud Bigtable vs. InfluxDB vs. MaxDB

Vergleich der Systemeigenschaften ClickHouse vs. GBase vs. Google Cloud Bigtable vs. InfluxDB vs. MaxDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMaxDB infoformerly named Adabas-D  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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 metricsA robust and reliable RDBMS optimized to run all major SAP solutions
Primäres DatenbankmodellRelational DBMSRelational DBMSKey-Value Store
Wide Column Store
Time Series DBMSRelational DBMS
Sekundäre DatenbankmodelleTime Series DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte1,05
Rang#186  Overall
#86  Relational DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte2,26
Rang#114  Overall
#55  Relational DBMS
Websiteclickhouse.comwww.gbase.cncloud.google.com/­bigtablewww.influxdata.com/­products/­influxdb-overviewmaxdb.sap.com
Technische Dokumentationclickhouse.com/­docscloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbmaxdb.sap.com/­documentation
EntwicklerClickhouse Inc.General Data Technology Co., Ltd.GoogleSAP, acquired from Software AG (Adabas-D) in 1997
Erscheinungsjahr20162004201520131984
Aktuelle Versionv24.4.1.2088-stable, Mai 2024GBase 8a, GBase 8s, GBase 8c2.7.6, April 20247.9.10.12, Februar 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoMIT-License; commercial enterprise version availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
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++C, Java, PythonGoC++
Server BetriebssystemeFreeBSD
Linux
macOS
LinuxgehostetLinux
OS X infothrough Homebrew
AIX
HP-UX
Linux
Solaris
Windows
Datenschemajajaschemafreischemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinNumeric data and Stringsja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesyesjaneinneinja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)Standard with numerous extensionsneinSQL-like query languageja
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
WebDAV
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#
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
.Net
C#
Java
Perl
PHP
Python
Server-seitige Scripts infoStored Proceduresjauser defined functionsneinneinja
Triggersneinjaneinneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customhorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding 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.jaInternal replication in Colossus, and regional replication between two clusters in different zonesfrei wählbarer Replikationsfaktor infoin enterprise version onlySource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinjaneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDAtomic single-row operationsneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
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.jaAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Einfache Rechteverwaltung mit BenutzeraccountsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseGBaseGoogle Cloud BigtableInfluxDBMaxDB infoformerly named Adabas-D
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
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
ClickHouseGBaseGoogle Cloud BigtableInfluxDBMaxDB infoformerly named Adabas-D
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
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Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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