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DBMS > Amazon Aurora vs. ClickHouse vs. Firebase Realtime Database vs. InfluxDB vs. Teradata

Vergleich der Systemeigenschaften Amazon Aurora vs. ClickHouse vs. Firebase Realtime Database vs. InfluxDB vs. Teradata

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Aurora  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenTeradata  Xaus Vergleich ausschliessen
KurzbeschreibungMySQL und PostgreSQL kompatibles RDBMS Cloud-Service von AmazonA 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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.DBMS for storing time series, events and metricsA hybrid cloud data analytics software platform (Teradata Vantage)
Primäres DatenbankmodellRelational DBMSRelational DBMSDocument StoreTime Series DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument StoreTime Series DBMSSpatial DBMS infowith GEO packageDocument Store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte7,91
Rang#50  Overall
#32  Relational DBMS
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte14,29
Rang#39  Overall
#6  Document Stores
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte45,33
Rang#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraclickhouse.comfirebase.google.com/­products/­realtime-databasewww.influxdata.com/­products/­influxdb-overviewwww.teradata.com
Technische Dokumentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlclickhouse.com/­docsfirebase.google.com/­docs/­databasedocs.influxdata.com/­influxdbdocs.teradata.com
EntwicklerAmazonClickhouse Inc.Google infoacquired by Google 2014Teradata
Erscheinungsjahr20152016201220131984
Aktuelle Versionv24.4.1.2088-stable, Mai 20242.7.6, April 2024Teradata Vantage 1.0 MU2, Jänner 2019
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoMIT-License; commercial enterprise version availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
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++Go
Server BetriebssystemegehostetFreeBSD
Linux
macOS
gehostetLinux
OS X infothrough Homebrew
gehostet
Linux
Datenschemajajaschemafreischemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaNumeric data and Stringsja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinneinja
Sekundärindizesjayesjaneinja infoSpezielle Join-Indizes für physikalisches 'pre-joining' von Tabellen
SQL infoSupport of SQLjaClose to ANSI SQL (SQL/JSON + extensions)neinSQL-like query languageja infoSQL 2016 + extensions
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
JSON over UDP
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Unterstützte ProgrammiersprachenAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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
Java
JavaScript
Objective-C
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-seitige Scripts infoStored Proceduresjajalimited functionality with using 'rules'neinja infoUDFs, stored procedures, table functions in parallel
TriggersjaneinCallbacks are triggered when data changesneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierungkey based and customSharding infoin enterprise version onlySharding infoHashing
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.frei wählbarer Replikationsfaktor infoin enterprise version onlyMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinjaneinACID
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 haltenjajaja infoDepending on used storage engineja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess 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.yes, based on authentication and database rulesEinfache Rechteverwaltung mit BenutzeraccountsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon AuroraClickHouseFirebase Realtime DatabaseInfluxDBTeradata
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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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
Amazon AuroraClickHouseFirebase Realtime DatabaseInfluxDBTeradata
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
12. Dezember 2019, Paul Andlinger

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Cloud-based DBMS's popularity grows at high rates
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20. Juli 2017, Paul Dix (guest author)

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

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