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SymmetricDS is open source software for database and file synchronization with Multi-master replication, filtered synchronization, and transformation capabilities. [2] It is designed to scale for a large number of nodes, work across low-bandwidth connections, and withstand periods of network outage. [3]
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
Open Source (Public domain) SQL database that supports in-memory storage with the :memory: connection string. [12] Tarantool: Mail.ru Group 2010 Open Source (BSD) In-memory database and application server (data grid) TerminusDB: TerminusDB (formerly DataChemist) 2019 JavaScript, Python, Prolog, Rust, JSON-LD: Open Source (Apache 2.0)
Database engine or management software that has been released under an open source license. Free and open-source software portal;
Multi-master replication can be contrasted with primary-replica replication, in which a single member of the group is designated as the "master" for a given piece of data and is the only node allowed to modify that data item. Other members wishing to modify the data item must first contact the master node.
SQLAlchemy, open source, a Data Mapper ORM; SQLObject, open source; Storm, open source (LGPL 2.1) developed at Canonical Ltd. Tryton, open source; web2py, the facilities of an ORM are handled by the DAL in web2py, open source; Odoo – Formerly known as OpenERP, It is an Open Source ERP in which ORM is included.
Open-source Java reporting tool that can write to screen, printer, or into PDF, HTML, Microsoft Excel, RTF, ODT, comma-separated values and XML files. libHaru: ZLIB/LIBPNG: Open-source, cross-platform C library to generate PDF files. OpenPDF: GNU LGPLv3 / MPLv2.0: Open source library to create and manipulate PDF files in Java.
Data replication and computation replication both require processes to handle incoming events. Processes for data replication are passive and operate only to maintain the stored data, reply to read requests and apply updates. Computation replication is usually performed to provide fault-tolerance, and take over an operation if one component fails.