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DBMS > ClickHouse vs. Fauna vs. Microsoft Azure SQL Database vs. QuestDB vs. Spark SQL

Vergleich der Systemeigenschaften ClickHouse vs. Fauna vs. Microsoft Azure SQL Database vs. QuestDB vs. Spark SQL

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenMicrosoft Azure SQL Database infofrüher SQL Azure  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenSpark SQL  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.Relationaler Datenbankdienst aus der Cloud mit großer Kompatibilität zum Microsoft SQL ServerA high performance open source SQL database for time series dataSpark SQL ist ein Spark-Modul für die Verarbeitung strukturierter Daten
Primäres DatenbankmodellRelational DBMSDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Graph DBMS
Spatial DBMS
Relational DBMS
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
Punkte77,99
Rang#16  Overall
#11  Relational DBMS
Punkte2,52
Rang#109  Overall
#9  Time Series DBMS
Punkte18,96
Rang#33  Overall
#20  Relational DBMS
Websiteclickhouse.comfauna.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasequestdb.iospark.apache.org/­sql
Technische Dokumentationclickhouse.com/­docsdocs.fauna.comdocs.microsoft.com/­en-us/­azure/­azure-sqlquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
EntwicklerClickhouse Inc.Fauna, Inc.MicrosoftQuestDB Technology IncApache Software Foundation
Erscheinungsjahr20162014201020142014
Aktuelle Versionv24.3.2.23-lts, April 2024V123.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoApache 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
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++ScalaC++Java (Zero-GC), C++, RustScala
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetgehostetLinux
macOS
Windows
Linux
OS X
Windows
Datenschemajaschemafreijaja infoschema-free via InfluxDB Line Protocolja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesyesjajaneinnein
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinjaSQL with time-series extensionsSQL-like DML and DDL statements
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
RESTful HTTP APIADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
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
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
Server-seitige Scripts infoStored Proceduresjabenutzerdefinierte FunktionenTransact SQLneinnein
Triggersneinneinjaneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customhorizontale Partitionierung infoconsistent hashinghorizontal partitioning (by timestamps)yes, utilizing Spark Core
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-Source Replikationja, immer mindestens 3 Replikas vorhandenSource-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 Integritätneinjajaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDACID 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 haltenjaneinja infothrough memory mapped filesnein
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 controlBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardnein
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseFauna infopreviously named FaunaDBMicrosoft Azure SQL Database infofrüher SQL AzureQuestDBSpark 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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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 FaunaDBMicrosoft Azure SQL Database infofrüher SQL AzureQuestDBSpark SQL
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