Liquibase vs Pg_timetable: What are the differences?
Liquibase: Source control for your database. Liquibase is a leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process; Pg_timetable: PostgreSQL Job Scheduling. It is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.
Liquibase and Pg_timetable can be categorized as "Database" tools.
Some of the features offered by Liquibase are:
- Supports code branching and merging
- Supports multiple developers
- Supports multiple database types
On the other hand, Pg_timetable provides the following key features:
- Tasks can be arranged in chains
- A chain can consist of SQL and executables
- Parameters can be passed to chains
Liquibase is an open source tool with 1.97K GitHub stars and 1.17K GitHub forks. Here's a link to Liquibase's open source repository on GitHub.
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Flyway vs Liquibase #Migration #Backwards-compatible
We were looking for a tool to help us integrating the migration scripts as part of our Deployment. At first sight both tools look very alike, are well integrated with Spring, have a fairly frequent development activity and short release cycles.
Liquibase puts a lot of emphasis on independence with the DB, allowing you to create the scripts on formats like JSON and YML, abstracting away from SQL, which it's also supported. Since we only work with one DB type across services we wouldn't take much advantage of this feature.
Flyway on the other hand has the advantage on being actively working on the integration with PostgreSQL 11, for it's upcoming version 6. Provides a more extensive set of properties that allow us to define what's allowed on what's not on each different environment.
Instead of looking for a tool that will allow us to rollback our DB changes automatically, we decided to implement backwards-compatible DB changes, for example adding a new column instead of renaming an existing one, postponing the deletion of the deprecated column until the release has been successfully installed.