DBMS > FoundationDB vs. Greenplum vs. Oracle vs. PostgreSQL vs. RethinkDB
Vergleich der Systemeigenschaften FoundationDB vs. Greenplum vs. Oracle vs. PostgreSQL vs. RethinkDB
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Name | FoundationDB Xaus Vergleich ausschliessen | Greenplum Xaus Vergleich ausschliessen | Oracle Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | RethinkDB Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Sortierter Key-Value Store. Core features werden durch layers ergänzt. | Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image. | Weit verbreitetes, allgemein einsetzbares RDBMS | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS Entwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitert | DBMS for the Web with a mechanism to push updated query results to applications in realtime. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Document Store Unterstützt durch speziellen Layer Key-Value Store Relational DBMS Unterstützt durch speziellen SQL-Layer | Relational DBMS | Relational DBMS | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Document Store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Document Store Spatial DBMS | Document Store Graph DBMS with Oracle Spatial and Graph RDF Store with Oracle Spatial and Graph Spatial DBMS with Oracle Spatial and Graph Vektor DBMS since Oracle 23 | Document Store Graph DBMS with Apache Age Spatial DBMS Vektor DBMS with pgvector extension | Spatial DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | github.com/apple/foundationdb | greenplum.org | www.oracle.com/database | www.postgresql.org | rethinkdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | apple.github.io/foundationdb | docs.greenplum.org | docs.oracle.com/en/database | www.postgresql.org/docs | rethinkdb.com/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | FoundationDB | Pivotal Software Inc. | Oracle | PostgreSQL Global Development Group www.postgresql.org/developer | The Linux Foundation since July 2017 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2013 | 2005 | 1980 | 1989 1989: Postgres, 1996: PostgreSQL | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 6.2.28, November 2020 | 7.0.0, September 2023 | 23c, September 2023 | 16.3, Mai 2024 | 2.4.1, August 2020 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | Open Source Apache 2.0 | Open Source Apache 2.0 | kommerziell eingeschränkte kostenlose Version verfügbar | Open Source BSD | Open Source Apache Version 2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementierungssprache | C++ | C und C++ | C | C++ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | Linux OS X Windows | Linux | AIX HP-UX Linux OS X Solaris Windows z/OS | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux OS X Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei Einige Layers unterstützen Schemata | ja | ja Schemaless in JSON and XML columns | ja | schemafrei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | nein Einige Layers unterstützen Typen | ja | ja | ja | ja string, binary, float, bool, date, geometry | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | ja seit Version 4.2 | ja | ja specific XML-type available, but no XML query functionality. | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | nein | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | nur in speziellem SQL-Layer | ja | ja mit proprietären Erweiterungen | ja Standard mit zahlreichen Erweiterungen | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | JDBC ODBC | JDBC ODBC ODP.NET Oracle Call Interface (OCI) | ADO.NET JDBC native C library ODBC streaming API for large objects | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | .Net C C++ Go Java JavaScript Node.js PHP Python Ruby Swift | C Java Perl Python R | C C# C++ Clojure Cobol Delphi Eiffel Erlang Fortran Groovy Haskell Java JavaScript Lisp Objective C OCaml Perl PHP Python R Ruby Scala Tcl Visual Basic | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | C community-supported driver C# community-supported driver C++ community-supported driver Clojure community-supported driver Dart community-supported driver Erlang community-supported driver Go community-supported driver Haskell community-supported driver Java official driver JavaScript (Node.js) official driver Lisp community-supported driver Lua community-supported driver Objective-C community-supported driver Perl community-supported driver PHP community-supported driver Python official driver Ruby official driver Scala community-supported driver | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | nur im SQL-layer | ja | PL/SQL auch Java stored procedures möglich | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | nein | ja | ja | ja | Client-side triggers through changefeeds | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding | Sharding | Sharding, horizontal partitioning | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding range based | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | ja | Source-Replica Replikation | Multi-Source Replikation Source-Replica Replikation | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | Source-Replica Replikation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | nein | ja | nein kann in PL/SQL realisiert werden | nein | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Linearizable consistency | Immediate Consistency | Immediate Consistency | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nur im SQL-layer | ja | ja | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ACID | ACID | ACID mit parameterisierbarem isolation level | ACID | Atomic single-document operations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja | ja | ja MVCC based | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | nein | ja Version 12c introduced the new option 'Oracle Database In-Memory' | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | nein | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | ja users and table-level permissions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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FoundationDB | Greenplum | Oracle | PostgreSQL | RethinkDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | MySQL is the DBMS of the Year 2019 The struggle for the hegemony in Oracle's database empire Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond | 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 | Meet some database management systems you are likely to hear more about in the future Oracle Cloud World FoundationDB team's new venture, Antithesis, raises $47M to enhance software testing FoundationDB Raises $17 Million Series A Financing Stonebraker Seeks to Invert the Computing Paradigm with DBOS Antithesis raises $47M to launch an automated testing platform for software FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project bereitgestellt von Google News 1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book] VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services RSA: EMC integrates Hadoop with Greenplum database Greenplum 6 ventures outside the analytic box | ZDNET Greenplum 6 review: Jack of all trades, master of some bereitgestellt von Google News Oracle to colocate database services and network interconnect in Google data centers Multicloud: Oracle links database with Google, Microsoft to speed operations Channel Brief: Oracle Deals Overshadow Earnings Miss, Cayosoft Launches Channel Program Ricoh selects Rimini Street to optimise and secure its Oracle EBS and Oracle database instances Oracle and Google Cloud Announce a Groundbreaking Multicloud Partnership bereitgestellt von Google News PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions Timescale unveils high-performance AI vector database extensions for PostgreSQL A New Era AI Databases: PostgreSQL with pgvectorscale Outperforms Pinecone and Cuts Costs by 75% with New Open-Source Extensions PostgreSQL Tutorial: Definition, Commands, & Features How to implement a better like, views, comment counters in PostgreSQL? bereitgestellt von Google News An introduction to building realtime apps with RethinkDB How to Use RethinkDB with Node.js Applications — SitePoint Stripe acquires team behind NoSQL database startup RethinkDB RethinkDB is dead, and MongoDB isn't what killed it How to deploy RethinkDB using Docker bereitgestellt von Google News |
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