DBMS > Amazon DynamoDB vs. IBM Db2 vs. PostgreSQL vs. Realm vs. Tarantool
Vergleich der Systemeigenschaften Amazon DynamoDB vs. IBM Db2 vs. PostgreSQL vs. Realm vs. Tarantool
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Name | Amazon DynamoDB Xaus Vergleich ausschliessen | IBM Db2 formerly named DB2 or IBM Database 2 Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | Realm Xaus Vergleich ausschliessen | Tarantool Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Gehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichert | Weit verbreitetes RDBMS im Großrechnerumfeld (z/OS), zwei unterschiedliche Versionen für Großrechner und Windows/Linux | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS Entwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitert | A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data | In-memory computing platform with a flexible data schema for efficiently building high-performance applications | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Document Store Key-Value Store | Relational DBMS Seit Version 10.5 Unterstützung für JSON/BSON Dokumente mit Kompatibilität zu MongoDB | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Document Store | Document Store Key-Value Store Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Document Store RDF Store in Db2 LUW (Linux, Unix, Windows) Spatial DBMS with Db2 Spatial Extender | Document Store Graph DBMS with Apache Age Spatial DBMS Vektor DBMS with pgvector extension | Spatial DBMS with Tarantool/GIS extension | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | aws.amazon.com/dynamodb | www.ibm.com/products/db2 | www.postgresql.org | realm.io | www.tarantool.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | docs.aws.amazon.com/dynamodb | www.ibm.com/docs/en/db2 | www.postgresql.org/docs | realm.io/docs | www.tarantool.io/en/doc | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Amazon | IBM | PostgreSQL Global Development Group www.postgresql.org/developer | Realm, acquired by MongoDB in May 2019 | VK | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2012 | 1983 Version für Großrechner | 1989 1989: Postgres, 1996: PostgreSQL | 2014 | 2008 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 12.1, Oktober 2016 | 16.3, Mai 2024 | 2.10.0, Mai 2022 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | kommerziell kostenlos bis zu einer gewissen Anzahl von Datenbankoperationen | kommerziell kostenlose Version verfügbar | Open Source BSD | Open Source | Open Source BSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | ja | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementierungssprache | C und C++ | C | C und C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | gehostet | AIX HP-UX Linux Solaris Windows z/OS | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Android Backend: serverlos iOS Windows | BSD Linux macOS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei | ja | ja | ja | Flexible data schema: relational definition for tables with ability to store json-like documents in columns | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja | ja | ja | ja | string, double, decimal, uuid, integer, blob, boolean, datetime | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | ja specific XML-type available, but no XML query functionality. | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | ja | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | nein | ja | ja Standard mit zahlreichen Erweiterungen | nein | Full-featured ANSI SQL support | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | RESTful HTTP API | ADO.NET JDBC JSON style queries Kompatibel zu MongoDB ODBC XQuery | ADO.NET JDBC native C library ODBC streaming API for large objects | Open binary protocol | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | .Net ColdFusion Erlang Groovy Java JavaScript Perl PHP Python Ruby | C C# C++ Cobol Delphi Fortran Java Perl PHP Python Ruby Visual Basic | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | .Net Java with Android only Objective-C React Native Swift | C C# C++ Erlang Go Java JavaScript Lua Perl PHP Python Rust | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | nein | ja | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | nein runs within the applications so server-side scripts are unnecessary | Lua, C and SQL stored procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | ja by integration with AWS Lambda | ja | ja | ja Change Listeners | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding | Sharding nur in Windows/Unix/Linux Version | partitioning by range, list and (since PostgreSQL 11) by hash | keine | Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | ja | ja mit Zusatztools (MQ, InfoSphere) | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | keine | Asynchronous replication with multi-master option Configurable replication topology (full-mesh, chain, star) Synchronous quorum replication (with Raft) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | nein kann über Amazon Elastic MapReduce (Amazon EMR) realisiert werden | nein | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Eventual Consistency Immediate Consistency kann bei LeseOperationen spezifiziert werden | Immediate Consistency | Immediate Consistency | Casual consistency across sharding partitions Eventual consistency within replicaset partition when using asyncronous replication Immediate Consistency within single instance Sequential consistency including linearizable read within replicaset partition when using Raft | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | ja | ja | nein | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ACID ACID across one or more tables within a single AWS account and region | ACID | ACID | ACID | ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja | ja | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja | yes, write ahead logging | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | nein | ja In-Memory realm | yes, full featured in-memory storage engine with persistence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Zugriffsrechte für Benutzer und Rollen über AWS Identity and Access Management (IAM) definierbar | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | ja | Access Control Lists Mutual TLS authentication for Tarantol Enterprise Password based authentication Role-based access control (RBAC) and LDAP for Tarantol Enterprise Users and Roles | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Amazon DynamoDB | IBM Db2 formerly named DB2 or IBM Database 2 | PostgreSQL | Realm | Tarantool | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | Cloud-based DBMS's popularity grows at high rates The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud | 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 | MySQL, PostgreSQL and Redis are the winners of the March ranking | Data processing speed and reliability: in-memory synchronous replication Freecharge lowered their identity management system cost and improved scaling by switching to Amazon DynamoDB ... Migrating Uber's Ledger Data from DynamoDB to LedgerStore Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services Simplify private connectivity to Amazon DynamoDB with AWS PrivateLink | Amazon Web Services bereitgestellt von Google News Announcing Amazon RDS for Db2 with license through AWS Marketplace | Amazon Web Services IBM Collaborates with AWS to Launch a New Cloud Database Offering, Enabling Customers to Optimize Data ... IBM's vintage Db2 database jumps on AWS's cloud bandwagon Precisely says it's smoothing migration of Db2 analytics data to AWS cloud – Blocks and Files Precisely Supports Amazon RDS for Db2 Service with Real-Time Data Integration Capabilities bereitgestellt von Google News Enterprise DB begins rolling AI features into PostgreSQL EDB unveils EDB Postgres AI Building a CRUD App with Node.js, PostgreSQL, and Prisma Deep PostgreSQL Thoughts: Valuing Currency Nutanix partners with EDB to fit database service for AI – Blocks and Files bereitgestellt von Google News MongoDB aims to unify developer experience with launch of MongoDB Cloud Danish CEO explains Silicon Valley learning curve for European entrepreneurs - San Francisco Business Times Is Swift the Future of Server-side Development? Kotlin Programming Language Will Surpass Java On Android Next Year Java Synthetic Methods — What are these? | by Vaibhav Singh bereitgestellt von Google News Deploying Tarantool Cartridge applications with zero effort (Part 1) VShard — horizontal scaling in Tarantool Accelerating PHP connectors for Tarantool using Async, Swoole, and Parallel bereitgestellt von Google News |
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