DBMS > Google Cloud Bigtable vs. Oracle vs. OrientDB vs. PostgreSQL vs. RethinkDB
Vergleich der Systemeigenschaften Google Cloud Bigtable vs. Oracle vs. OrientDB vs. PostgreSQL vs. RethinkDB
Redaktionelle Informationen bereitgestellt von DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | Google Cloud Bigtable Xaus Vergleich ausschliessen | Oracle Xaus Vergleich ausschliessen | OrientDB Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | RethinkDB Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. | Weit verbreitetes, allgemein einsetzbares RDBMS | Multi-model DBMS (Document, Graph, Key/Value) | 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 | Key-Value Store Wide Column Store | Relational DBMS | Document Store Graph DBMS Key-Value Store | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Document Store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Website | cloud.google.com/bigtable | www.oracle.com/database | orientdb.org | www.postgresql.org | rethinkdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | cloud.google.com/bigtable/docs | docs.oracle.com/en/database | www.orientdb.com/docs/last/index.html | www.postgresql.org/docs | rethinkdb.com/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Oracle | OrientDB LTD; CallidusCloud; SAP | PostgreSQL Global Development Group www.postgresql.org/developer | The Linux Foundation since July 2017 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2015 | 1980 | 2010 | 1989 1989: Postgres, 1996: PostgreSQL | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 23c, September 2023 | 3.2.29, Maerz 2024 | 16.3, Mai 2024 | 2.4.1, August 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | kommerziell | kommerziell eingeschränkte kostenlose Version verfügbar | Open Source Apache Version 2 | Open Source BSD | Open Source Apache Version 2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | ja | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS Angebote (gesponserte Links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementierungssprache | C und C++ | Java | C | C++ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | gehostet | AIX HP-UX Linux OS X Solaris Windows z/OS | Alle Betriebssysteme mit einer Java JDK (>= JDK 6) | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux OS X Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei | ja Schemaless in JSON and XML columns | schemafrei Schema kann erzwungen werden: für kompletten Satz ("schema-full") oder nur für einzelne Attribute ("schema-hybrid") | ja | schemafrei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | nein | 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 | nein | ja | nein | ja specific XML-type available, but no XML query functionality. | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | nein | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | nein | ja mit proprietären Erweiterungen | SQL-like query language, no joins | ja Standard mit zahlreichen Erweiterungen | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java) | JDBC ODBC ODP.NET Oracle Call Interface (OCI) | Tinkerpop technology stack with Blueprints, Gremlin, Pipes Java API RESTful HTTP/JSON API | ADO.NET JDBC native C library ODBC streaming API for large objects | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | C# C++ Go Java JavaScript (Node.js) Python | 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# C++ Clojure Java JavaScript JavaScript (Node.js) PHP Python Ruby Scala | .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 | nein | PL/SQL auch Java stored procedures möglich | Java, Javascript | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | nein | ja | Hooks | ja | Client-side triggers through changefeeds | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding | Sharding, horizontal partitioning | Sharding | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding range based | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Internal replication in Colossus, and regional replication between two clusters in different zones | Multi-Source Replikation Source-Replica Replikation | Multi-Source Replikation | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | Source-Replica Replikation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | ja | nein kann in PL/SQL realisiert werden | nein could be achieved with distributed queries | nein | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters) | Immediate Consistency | Immediate Consistency | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | ja | ja Beziehungen in Graphen | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | Atomic single-row operations | ACID mit parameterisierbarem isolation level | ACID | 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 | Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM) | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Zugriffsrechte für Benutzer und Rollen, Rechte auch auf Satzebene | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | ja users and table-level permissions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Weitere Informationen bereitgestellt vom SystemherstellerWir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Zugehörige Produkte und Dienstleistungen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Drittanbieter | Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux. » mehr Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment. » mehr | Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems. » mehr Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development. » mehr Instaclustr: Fully Hosted & Managed PostgreSQL » mehr Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today! » mehr pgDash: In-Depth PostgreSQL Monitoring. » mehr Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools. » mehr Redgate webinars: A series of key topics for new PostgreSQL users. » mehr CYBERTEC is your professional partner in PostgreSQL topics for over 20 years. As our main aim is to be your single-source all-in-one IT service provider, we offer a wide range of products and services. Visit our website for more details. » mehr Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance. » mehr SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more. » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Weitere Ressourcen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Google Cloud Bigtable | Oracle | OrientDB | 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 | Graph DBMS increased their popularity by 500% within the last 2 years Graph DBMSs are gaining in popularity faster than any other database category | 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 Monitoring PostgreSQL with Redgate Monitor Google's AI-First Strategy Brings Vector Support To Cloud Databases Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs Google scales up Cloud Bigtable NoSQL database Google introduces Cloud Bigtable managed NoSQL database to process data at scale Google Cloud makes it cheaper to run smaller workloads on Bigtable bereitgestellt von Google News AI-Fueled Enterprise Data Management: The Rise Of Oracle Database 23ai Oracle Database 23ai Brings the Power of AI to Enterprise Data and Applications Oracle Database 23ai - all of your data should be in one place, argues CTO Larry Ellison Lords of May-hem: Seven signs it is Oracle's year end Oracle renames Database 23c to 23ai, makes it generally available bereitgestellt von Google News The 12 Best Graph Databases to Consider for 2024 OrientDB: A Flexible and Scalable Multi-Model NoSQL DBMS Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell ArangoDB raises $10 million for NoSQL database management K2View updates DataOps platform with data fabric automation bereitgestellt von Google News Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ... Distributed PostgreSQL Buyers Guide SolarWinds Unveils Enhanced Database Performance Analyzer with Advanced PostgreSQL Support ServiceNow trades MariaDB for RaptorDB (PostgreSQL) Automatically Generate Types for Your PostgreSQL Database bereitgestellt von Google News MongoDB: The Popular Database for IoT How to Use RethinkDB with Node.js Applications — SitePoint Stripe acquires team behind NoSQL database startup RethinkDB How to deploy RethinkDB using Docker RethinkDB is dead, and MongoDB isn't what killed it bereitgestellt von Google News |
Teilen sie diese Seite mit ihrem Netzwerk