DBMS > CouchDB vs. Elasticsearch vs. MySQL vs. PostgreSQL vs. Titan
Vergleich der Systemeigenschaften CouchDB vs. Elasticsearch vs. MySQL vs. PostgreSQL vs. Titan
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Name | CouchDB steht für "Cluster Of Unreliable Commodity Hardware" Xaus Vergleich ausschliessen | Elasticsearch Xaus Vergleich ausschliessen | MySQL Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | Titan Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Ein JSON - Document Store inspiriert durch Lotus Notes der von Server-Clustern bis Mobile Phones skaliert | Eine moderne Such- und Analyseplattform basierend auf Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS Entwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitert | Titan ist ein Graph DBMS optimiert für verteilte Clusters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Document Store | Suchmaschine | Relational DBMS Key/Value Zugriff über memcached API | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Graph DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Spatial DBMS using the Geocouch extension | Document Store Spatial DBMS Vektor DBMS | Document Store Spatial DBMS | Document Store Graph DBMS with Apache Age Spatial DBMS Vektor DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | couchdb.apache.org | www.elastic.co/elasticsearch | www.mysql.com | www.postgresql.org | github.com/thinkaurelius/titan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | docs.couchdb.org/en/stable | www.elastic.co/guide/en/elasticsearch/reference/current/index.html | dev.mysql.com/doc | www.postgresql.org/docs | github.com/thinkaurelius/titan/wiki | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Apache Software Foundation Apache Top-Level Projekt, ursprünglich entwickelt von Damien Katz, ehemaliger Lotus Notes Entwickler | Elastic | Oracle seit 2010, ursprünglich MySQL AB, danach Sun | PostgreSQL Global Development Group www.postgresql.org/developer | Aurelius, owned by DataStax | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2005 | 2010 | 1995 | 1989 1989: Postgres, 1996: PostgreSQL | 2012 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 3.3.3, Dezember 2023 | 8.6, January 2023 | 8.4.0, April 2024 | 16.2, Februar 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | Open Source Apache Version 2 | Open Source Elastic License | Open Source GPL Version 2. Kommerzielle Lizenzen mit erweiterter Funktionalität sind verfügbar. | Open Source BSD | Open Source Apache Lizenz, Version 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS Angebote (gesponserte Links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup. | Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementierungssprache | Erlang | Java | C und C++ | C | Java | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | Android BSD Linux OS X Solaris Windows | Alle Betriebssysteme mit einer Java VM | FreeBSD Linux OS X Solaris Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux OS X Unix Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei | schemafrei Flexible Typdefinitionen, die - sobald definiert - persistent bleiben. | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | nein | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | nein | nein | ja | ja specific XML-type available, but no XML query functionality. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | ja über Views | ja Alle Suchfelder werden automatisch indiziert | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | nein | SQL-like query language | ja mit proprietären Erweiterungen | ja Standard mit zahlreichen Erweiterungen | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | RESTful HTTP/JSON API | Java API RESTful HTTP/JSON API | ADO.NET JDBC ODBC Proprietäres native API | ADO.NET JDBC native C library ODBC streaming API for large objects | Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk | .Net Groovy Community Contributed Clients Java JavaScript 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 | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | Clojure Java Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | View Functions in JavaScript | ja | ja proprietäre Syntax | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | ja | ja Mittels Verwendung des 'Percolation' features | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding improved architecture with release 2.0 | Sharding | horizontale Partitionierung, Sharding mit MySQL Cluster oder MySQL Fabric | partitioning by range, list and (since PostgreSQL 11) by hash | ja über integrierbare Storage Backends | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Multi-Source Replikation Source-Replica Replikation | ja | Multi-Source Replikation Source-Replica Replikation | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | ja | ES-Hadoop Connector | nein | nein | ja mittels Faunus, eine Graph Analytics Engine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Eventual Consistency | Eventual Consistency Synchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, all | Immediate Consistency | Immediate Consistency | Eventual Consistency Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | nein | ja nicht für MyISAM Storage Engine | ja | ja Beziehungen in Graph | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | nein atomare Operationen innerhalb eines Dokumentes möglich | nein | ACID nicht für MyISAM Storage Engine | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja Strategie: optimistic locking | ja | ja Table Locks oder Row Locks abhängig von Storage Engine | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja | ja Unterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | nein | Memcached and Redis integration | ja | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Zugriffsrechte für Benutzer pro Datenbank definierbar | Benutzer mit feingranularem Berechtigungskonzept keine Benutzergruppen oder Rollen | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Benutzer Authentification und Sicherheit via Rexster Graph Server | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CouchDB steht für "Cluster Of Unreliable Commodity Hardware" | Elasticsearch | MySQL | PostgreSQL | Titan | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking | MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Graph DBMS increased their popularity by 500% within the last 2 years Graph DBMSs are gaining in popularity faster than any other database category Monitoring PostgreSQL with Redgate Monitor How to install the CouchDB NoSQL database on Debian Server 11 IBM Cloudant pulls plan to fund new foundational layer for CouchDB CouchDB 3.0 puts safety first CouchDB 3.0 ends admin party era • DEVCLASS How to Connect Your Flask App With CouchDB: A NoSQL Database - MUO bereitgestellt von Google News Understanding Elasticsearch Reindexing: When to Reindex, Best Practices and Alternatives Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently The Total Economic Impact™️ of Elasticsearch Red Hat and Elastic Fuel Retrieval Augmented Generation for GenAI Use Cases Splunk vs Elasticsearch | A Comparison and How to Choose bereitgestellt von Google News Rule::array() and whereJsonOverlaps() for MySQL in Laravel 11.7 Enterprise Manager: How Comcast enhanced monitoring for MySQL InnoDB Clusters Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ... Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs How to Create a MySQL 8 Database User With Remote Access bereitgestellt von Google News AGEDB Technology Launches PGTS - PostgreSQL Tech-Support PostgreSQL Security Flaws Let Attackers Execute Code Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need Automatically Generate Types for Your PostgreSQL Database Your MySQL 5.7 and PostgreSQL 11 databases will be automatically enrolled into Amazon RDS Extended Support ... bereitgestellt von Google News Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services Beyond Titan: The Evolution of DataStax's New Graph Database Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads DataStax acquires Aurelius, the startup behind the Titan graph database DSE Graph review: Graph database does double duty bereitgestellt von Google News |
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