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DBMS > Amazon Redshift vs. ClickHouse vs. PostgreSQL vs. QuestDB vs. Spark SQL

Vergleich der Systemeigenschaften Amazon Redshift vs. ClickHouse vs. PostgreSQL vs. QuestDB vs. Spark SQL

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenPostgreSQL  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsA 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.Weit verbreitetes, allgemein einsetzbares Open Source RDBMS infoEntwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitertA high performance open source SQL database for time series dataSpark SQL ist ein Spark-Modul für die Verarbeitung strukturierter Daten
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMS infomit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul.Time Series DBMSRelational DBMS
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Graph DBMS infowith Apache Age
Spatial DBMS
Vektor DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte17,94
Rang#34  Overall
#21  Relational DBMS
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte645,54
Rang#4  Overall
#4  Relational DBMS
Punkte2,52
Rang#109  Overall
#9  Time Series DBMS
Punkte18,96
Rang#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftclickhouse.comwww.postgresql.orgquestdb.iospark.apache.org/­sql
Technische Dokumentationdocs.aws.amazon.com/­redshiftclickhouse.com/­docswww.postgresql.org/­docsquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
EntwicklerAmazon (based on PostgreSQL)Clickhouse Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerQuestDB Technology IncApache Software Foundation
Erscheinungsjahr201220161989 info1989: Postgres, 1996: PostgreSQL20142014
Aktuelle Versionv24.4.1.2088-stable, Mai 202416.3, Mai 20243.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein
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.
  • 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.
  • PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
  • Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
ImplementierungsspracheCC++CJava (Zero-GC), C++, RustScala
Server BetriebssystemegehostetFreeBSD
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Datenschemajajajaja infoschema-free via InfluxDB Line Protocolja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinja infospecific XML-type available, but no XML query functionality.neinnein
Sekundärindizeseingeschränktyesjaneinnein
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsClose to ANSI SQL (SQL/JSON + extensions)ja infoStandard mit zahlreichen ErweiterungenSQL with time-series extensionsSQL-like DML and DDL statements
APIs und andere ZugriffskonzepteJDBC
ODBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBCC# 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++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin Pythonjabenutzerdefinierte Funktionen inforealisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.)neinnein
Triggersneinneinjaneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkey based and custompartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning (by timestamps)yes, utilizing Spark Core
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Source-Replica Replikation infoandere Varianten durch Verwendung von 3rd party - toolsSource-replica replication with eventual consistencykeine
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDACID for single-table writesnein
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 haltenjajaneinja infothrough memory mapped filesnein
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.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardnein
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon RedshiftClickHousePostgreSQLQuestDBSpark SQL
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
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Weitere Ressourcen
Amazon RedshiftClickHousePostgreSQLQuestDBSpark SQL
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