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DBMS > ArangoDB vs. ClickHouse vs. MariaDB vs. Sqrrl vs. Valentina Server

Vergleich der Systemeigenschaften ArangoDB vs. ClickHouse vs. MariaDB vs. Sqrrl vs. Valentina Server

Redaktionelle Informationen bereitgestellt von DB-Engines
NameArangoDB  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenMariaDB  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessenValentina Server  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A 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.Open source RDBMS, das zu MySQL anwendungskompatibel ist und zusätzliche Features wie Hochverfügbarkeit, Security, Interoperabilität und Performanceverbesserungen aufweist. Mit MariaDB ColumnStore bietet es auch eine spaltenorientierte storage engineAdaptable, secure NoSQL built on Apache AccumuloObject-relational database and reports server
Primäres DatenbankmodellDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
Relational DBMSRelational DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational DBMS
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,77
Rang#87  Overall
#15  Document Stores
#5  Graph DBMS
#12  Key-Value Stores
#10  Suchmaschinen
Punkte16,20
Rang#37  Overall
#23  Relational DBMS
Punkte93,81
Rang#13  Overall
#9  Relational DBMS
Punkte0,18
Rang#329  Overall
#144  Relational DBMS
Websitearangodb.comclickhouse.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
sqrrl.comwww.valentina-db.net
Technische Dokumentationdocs.arangodb.comclickhouse.com/­docsmariadb.com/­kb/­en/­libraryvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
EntwicklerArangoDB Inc.Clickhouse Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoDer Lead Developer Monty Widenius ist der ursprüngliche Autor von MySQL
Amazon infoursprünglich Sqrrl Data, Inc.Paradigma Software
Erscheinungsjahr201220162009 infoFork of MySQL, which was first released in 199520121999
Aktuelle Version3.11.5, November 2023v24.3.2.23-lts, April 202411.3.2, Februar 20245.7.5
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0Open Source infoGPL Version 2, kommerzielle Enterpriselizenz verfügbarkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
  • 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.
  • 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.
ImplementierungsspracheC++C++C und C++Java
Server BetriebssystemeLinux
OS X
Windows
FreeBSD
Linux
macOS
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
LinuxLinux
OS X
Windows
Datenschemaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntjaja infoDynamic Columns werden unterstütztschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hashjajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja
Sekundärindizesjayesjajaja
SQL infoSupport of SQLneinClose to ANSI SQL (SQL/JSON + extensions)ja infomit proprietären Erweiterungenneinja
APIs und andere ZugriffskonzepteAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
ADO.NET
JDBC
ODBC
Proprietäres native API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ODBC
Unterstützte ProgrammiersprachenC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
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
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-seitige Scripts infoStored ProceduresJavaScriptjaja infoseit Version 10.3 auch PL/SQL kompatibelneinja
Triggersneinneinjaneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoAb Version 2.0key based and customHorizontale Partitionierung, ShardingSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factorAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-Source Replikation
Source-Replica Replikation
frei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce Operationennein infoMöglich über stored procedures in JavaScriptneinneinjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphsneinja infonicht für MyISAM Storage Engineneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACID infonicht für MyISAM Storage EngineAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infonicht für In-Memory Storage Enginejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infowith MEMORY storage engineja
Berechtigungskonzept infoZugriffskontrollejaAccess 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-StandardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
ArangoDBClickHouseMariaDBSqrrlValentina Server
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
MariaDB is the most powerful open source relational database – modern SQL and JSON...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
MariaDB Servers have many features unavailable in other open source relational databases....
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
Web, SaaS and Cloud operational applications that require high availability, scalability...
» mehr
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
MariaDB plc subscriptions cover our free, open source database, Community Server,...
» mehr

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

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
Navicat for MariaDB provides a native environment for MariaDB database management and development.
» mehr

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Weitere Ressourcen
ArangoDBClickHouseMariaDBSqrrlValentina Server
DB-Engines Blog Posts

The Weight of Relational Databases: Time for Multi-Model?
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