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Version 1.9 adds serializable isolation and version 2.0 will be fully ACID compliant. Note (2): MariaDB and MySQL provide ACID compliance through the default InnoDB storage engine. [71] [72] Note (3): "For other than InnoDB storage engines, MySQL Server parses and ignores the FOREIGN KEY and REFERENCES syntax in CREATE TABLE statements.
This is a comparison of object–relational database management systems (ORDBMSs). Each system has at least some features of an object–relational database ; they vary widely in their completeness and the approaches taken.
Access Database Engine (formerly known as Jet Database Engine) Proprietary Actian Zen (PSQL) (formerly known as Pervasive PSQL) Proprietary Adabas D: Proprietary Airtable: Proprietary Altibase: Proprietary Amazon Aurora: Proprietary Apache Derby: Apache License 2.0 Apache Ignite: Apache License 2.0 Aster Data Systems: Proprietary CA Datacom ...
2019r3 [1] Proprietary: Yes No No Yes Yes Yes Yes Yes Yes IBM Db2, Sybase, MS Access: C++: Database Workbench: Upscene Productions 2024-05-14 6.5.0 Proprietary: Yes needs Wine: needs Wine: Yes Yes Yes Yes Yes Yes InterBase, Firebird, NexusDB, MariaDB: Delphi: DataGrip: JetBrains 2023-08-17 2023.2.1 Proprietary: Yes Yes Yes Yes Yes Yes Yes No ...
8.0 (2011-03-09) C#, Java: db4o-sql.NET and Java data types GPL, custom, [1] proprietary: Native Queries, LINQ support, automatic schema evolution, Transparent Activation/Persistence, replication to RDBMS, Object Manager plugin for Visual Studio and Eclipse GemStone/S: 3.6.0 Smalltalk: None Objects and code Proprietary, free version available
Mnesia is a distributed, soft real-time database management system written in the Erlang programming language. It is distributed as part of the Open Telecom Platform. MonetDB: MonetDB Solutions, CWI: 2004 SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015.
Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers.The system prioritizes availability and scalability over consistency, making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [2]
The DB-Engines Ranking ranks database management systems by popularity, covering over 410 systems. The ranking criteria [1] include number of search engine results when searching for the system names, Google Trends, Stack Overflow discussions, job offers with mentions of the systems, number of profiles in professional networks such as LinkedIn, mentions in social networks such as Twitter.
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