2 रिपॉजिटरी
Awesome GitHub RepositoriesDatabase Change Management Systems
Tools for managing DDL and DML changes via approval workflows and automated recovery mechanisms.
Distinct from Database Change Tracking: None of the candidates adequately cover the intersection of approval tickets, DDL/DML management, and automated rollbacks.
Explore 2 awesome GitHub repositories matching data & databases · Database Change Management Systems. Refine with filters or upvote what's useful.
Awesome Database Change Management Systems GitHub Repositories
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- cookiey/yearning
cookieY/Yearning
8,952GitHub पर देखेंYearning is a MySQL SQL audit platform and database change management system. It provides a governance framework for reviewing, approving, and auditing SQL statements executed against MySQL databases. The platform features an AI-powered SQL optimizer that suggests performance improvements and converts natural language requests into executable SQL code. It manages database changes through an approval-based workflow engine that includes automated rollback generation and rule-based syntax validation. The system covers role-based access control, security compliance with multi-factor authenticati
Provides a workflow tool for managing DDL and DML changes through approval tickets and automated rollback generation.
Godevopsgogolang - liquibase/liquibase
liquibase/liquibase
5,527GitHub पर देखेंLiquibase is a database schema change management tool and version control system designed to track, manage, and apply versioned database modifications. It functions as a SQL migration framework and DevOps automation utility that integrates database deployments into continuous delivery pipelines and build toolchains. The system enables precise rollbacks and drift detection by recording every modification made to a database schema. It supports the definition of database changes through structured changesets in XML, YAML, or JSON, as well as raw SQL scripts, to ensure consistent deployments acro
Liquibase controls which schema updates are applied using labels, contexts, and preconditions to target specific environments.
Java
