DBMS > ClickHouse vs. dBASE vs. Google Cloud Bigtable vs. PostgreSQL vs. RethinkDB
Vergleich der Systemeigenschaften ClickHouse vs. dBASE vs. Google Cloud Bigtable vs. PostgreSQL vs. RethinkDB
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Name | ClickHouse Xaus Vergleich ausschliessen | dBASE Xaus Vergleich ausschliessen | Google Cloud Bigtable Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | RethinkDB 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. | dBase war eine der ersten Datenbanken mit einer eigenen Entwicklungsumgebung auf PC's. Die letzte Version dbase V wird als dBase classic weiter vertrieben und benötigt eine DOS-Emulation. Das aktuelle Produkt ist aber dBase Plus. | 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 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 | Relational DBMS | Relational DBMS | Key-Value Store Wide Column Store | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Document Store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Time Series DBMS | Document Store Graph DBMS with Apache Age Spatial DBMS Vektor DBMS with pgvector extension | Spatial DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | clickhouse.com | www.dbase.com | cloud.google.com/bigtable | www.postgresql.org | rethinkdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | clickhouse.com/docs | www.dbase.com/support/knowledgebase | cloud.google.com/bigtable/docs | www.postgresql.org/docs | rethinkdb.com/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Clickhouse Inc. | Asthon Tate | PostgreSQL Global Development Group www.postgresql.org/developer | The Linux Foundation since July 2017 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2016 | 1979 | 2015 | 1989 1989: Postgres, 1996: PostgreSQL | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | v24.4.1.2088-stable, Mai 2024 | dBASE 2019, 2019 | 16.2, Februar 2024 | 2.4.1, August 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | Open Source Apache 2.0 | kommerziell | kommerziell | Open Source BSD | Open Source Apache Version 2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | nein | ja | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementierungssprache | C++ | C | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | FreeBSD Linux macOS | DOS dBase Classic Windows dBase Pro | gehostet | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux OS X Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | ja | ja | schemafrei | ja | schemafrei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja | ja | nein | 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 | nein | ja specific XML-type available, but no XML query functionality. | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | yes | ja | nein | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | Close to ANSI SQL (SQL/JSON + extensions) | nein | nein | ja Standard mit zahlreichen Erweiterungen | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | gRPC HTTP REST JDBC MySQL wire protocol ODBC PostgreSQL wire protocol Proprietäres Protokoll | keine Mit der Entwicklungsumgebung kann aber auf andere DBMS oder ODBC-Datenquellen zugegriffen werden | gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java) | ADO.NET JDBC native C library ODBC streaming API for large objects | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | dBase eigene IDE | C# C++ Go Java JavaScript (Node.js) Python | .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 | ja | nein Die IDE kann stored procedures in anderen Datenquellen aufrufen. | nein | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | nein | nein | nein | ja | Client-side triggers through changefeeds | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | key based and custom | keine | Sharding | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding range based | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages. | keine | Internal replication in Colossus, and regional replication between two clusters in different zones | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | Source-Replica Replikation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | nein | nein | ja | nein | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate Consistency | Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters) | Immediate Consistency | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | ja | nein | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | nein | nein Nicht für dBase interne Daten, wohl aber Unterstützung durch die IDE beim Zugriff auf externe DBMS | Atomic single-row operations | 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 | ja | nein | nein | 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. | Zugriffsrechte für Benutzer und Rollen | Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM) | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | ja users and table-level permissions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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ClickHouse | dBASE | Google Cloud Bigtable | PostgreSQL | RethinkDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | DB-Engines Ranking coverage expanded to 169 database management systems | 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 Monitoring PostgreSQL with Redgate Monitor Why Clickhouse Should Be Your Next Database ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster | Amazon ... A 1000x Faster Database Solution: ClickHouse’s Aaron Katz From Open Source to SaaS: the Journey of ClickHouse Snowflake vs. BigQuery vs. ClickHouse: Mastering Cost-Effective Business Analytics bereitgestellt von Google News 30 Years Ago: The Rise, Fall and Survival of Ashton-Tate's dBASE DBF File (What It Is and How to Open One) Microsoft Access 2016 Now Supports dBase Database Format A malicious document could lead to RCE in Apache OpenOffice (CVE-2021-33035) Liam Brady's wife and their family life with three children bereitgestellt von Google News Google's AI-First Strategy Brings Vector Support To Cloud Databases What is Google Bigtable? | Definition from TechTarget Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs Review: Google Bigtable scales with ease Google Cloud makes it cheaper to run smaller workloads on Bigtable bereitgestellt von Google News 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 ... Why PostgreSQL Is the Bedrock for the Future of Data 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 RethinkDB is dead, and MongoDB isn't what killed it Review: RethinkDB rethinks real-time Web apps bereitgestellt von Google News |
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