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As early as 1985, researchers recognized the need for defining timing attributes in database tables, which would be necessary for tracking changes to databases. [2] This research continued into the 1990s, and the theory was formalized into practical methods for managing data in relational databases, [3] providing some of the foundational concepts for what would later become data version control.
The following table provides further information about commands available in notable version-control systems. Table explanation. Repository init: Create a new empty repository (i.e., version control database) clone: Create an identical instance of a repository (in a safe transaction)
Code Co-op [open, proprietary] – (discontinued) peer-to-peer version control system (can use e-mail for synchronization) Configuration Management Version Control (CMVC) [proprietary, client-server] – version control system, no longer available; GNU arch [open, distributed] – A very early system; deprecated since 2009 in favor of Bazaar
More complicated designs might log the actual data that changed. This queue table could then be "played back" to replicate the data from the source system to a target. Data capture offers a challenge in that the structure, contents and use of a transaction log is specific to a database management system.
Version control (also known as revision control, source control, and source code management) is the software engineering practice of controlling, organizing, and tracking different versions in history of computer files; primarily source code text files, but generally any type of file.
A document-oriented database is a specialized key-value store, which itself is another NoSQL database category. In a simple key-value store, the document content is opaque. A document-oriented database provides APIs or a query/update language that exposes the ability to query or update based on the internal structure in the document. This ...
TerminusDB is an in-memory graph database management system with a rich query language. The design of the underlying data structure, which is implemented in a Rust library, uses a succinct data structures and delta encoding approach drawing inspiration from software source control systems like Git. [21]
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]