DBMS > ClickHouse vs. MarkLogic vs. MySQL vs. Redis vs. Spark SQL
Vergleich der Systemeigenschaften ClickHouse vs. MarkLogic vs. MySQL vs. Redis vs. Spark SQL
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Name | ClickHouse Xaus Vergleich ausschliessen | MarkLogic Xaus Vergleich ausschliessen | MySQL Xaus Vergleich ausschliessen | Redis Xaus Vergleich ausschliessen | Spark SQL Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | 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. | Operational and transactional Enterprise NoSQL database | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis legt höchsten Wert auf Performanz. Bei Designentscheidungen wird typischerweise Performanz der Vorzug vor Features oder Speicherbedarf gegeben. | Spark SQL ist ein Spark-Modul für die Verarbeitung strukturierter Daten | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Relational DBMS | Document Store Native XML DBMS RDF Store ab Version 7 Suchmaschine | Relational DBMS Key/Value Zugriff über memcached API | Key-Value Store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Time Series DBMS | Document Store Spatial DBMS | Document Store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Suchmaschine with RediSearch Time Series DBMS with RedisTimeSeries Vektor DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | clickhouse.com | www.progress.com/marklogic | www.mysql.com | redis.com redis.io | spark.apache.org/sql | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | clickhouse.com/docs | www.progress.com/marklogic/documentation | dev.mysql.com/doc | docs.redis.com/latest/index.html redis.io/docs | spark.apache.org/docs/latest/sql-programming-guide.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Clickhouse Inc. | MarkLogic Corp. | Oracle seit 2010, ursprünglich MySQL AB, danach Sun | Redis project core team, inspired by Salvatore Sanfilippo Entwicklung von Redis Inc finanziert | Apache Software Foundation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2016 | 2001 | 1995 | 2009 | 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | v24.4.1.2088-stable, Mai 2024 | 11.0, December 2022 | 8.4.0, April 2024 | 7.2.5, Mai 2024 | 3.5.0 ( 2.13), September 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | Open Source Apache 2.0 | kommerziell eingeschränkte kostenlose Version verfügbar | Open Source GPL Version 2. Kommerzielle Lizenzen mit erweiterter Funktionalität sind verfügbar. | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source Apache 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementierungssprache | C++ | C++ | C und C++ | C | Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | FreeBSD Linux macOS | Linux OS X Windows | FreeBSD Linux OS X Solaris Windows | BSD Linux OS X Windows portiert und gewartet durch Microsoft Open Technologies, Inc. | Linux OS X Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | ja | schemafrei Schema kann erzwungen werden | ja | schemafrei | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja | ja | ja | teilweise Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | nein | ja | ja | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | yes | ja | ja | ja with RediSearch module | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | Close to ANSI SQL (SQL/JSON + extensions) | ja SQL92 | ja mit proprietären Erweiterungen | with RediSQL module | SQL-like DML and DDL statements | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | gRPC HTTP REST JDBC MySQL wire protocol ODBC PostgreSQL wire protocol Proprietäres Protokoll | Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9 RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT | ADO.NET JDBC ODBC Proprietäres native API | Proprietäres Protokoll RESP - REdis Serialization Protocol | JDBC ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | C# 3rd party library C++ Elixir 3rd party library Go 3rd party library Java 3rd party library JavaScript (Node.js) 3rd party library Kotlin 3rd party library Nim 3rd party library Perl 3rd party library PHP 3rd party library Python 3rd party library R 3rd party library Ruby 3rd party library Rust Scala 3rd party library | C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | Java Python R Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | ja | ja via XQuery or JavaScript | ja proprietäre Syntax | Lua; Redis Functions coming in Redis 7 (slides and Github) | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | nein | ja | ja | publish/subscribe channels provide some trigger functionality; RedisGears | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | key based and custom | Sharding | horizontale Partitionierung, Sharding mit MySQL Cluster oder MySQL Fabric | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | yes, utilizing Spark Core | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages. | ja | Multi-Source Replikation Source-Replica Replikation | Multi-Source Replikation with Redis Enterprise Pack Source-Replica Replikation Chained replication wird unterstützt | keine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | nein | ja Ãœber Hadoop Connector, HDFS Direct Access und in-database MapReduce Jobs | nein | through RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate Consistency | Immediate Consistency | Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | nein | ja nicht für MyISAM Storage Engine | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | nein | ACID can act as a resource manager in an XA/JTA transaction | ACID nicht für MyISAM Storage Engine | Atomic execution of command blocks and scripts and optimistic locking | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja Table Locks oder Row Locks abhängig von Storage Engine | ja Datenzugriffe werden vom Server serialisiert | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja konfigurierbare Persistenzmechanismen via snapshots oder logs | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | ja | yes, with Range Indexes | ja | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Access 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. | Rollen-basierte Zugriffskontrolle auf Dokumenten- und Subdokumentenebene | Benutzer mit feingranularem Berechtigungskonzept keine Benutzergruppen oder Rollen | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Drittanbieter | DoubleCloud: 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 | Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» mehr Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development. » mehr Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems. » mehr CData: Connect to Big Data & NoSQL through standard Drivers. » mehr | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
» mehr Redisson PRO: The ultra-fast Redis Java Client. » mehr CData: Connect to Big Data & NoSQL through standard Drivers. » mehr Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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ClickHouse | MarkLogic | MySQL | Redis | Spark SQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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