Liquibase vs Dynobase: What are the differences?
Developers describe Liquibase as "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. On the other hand, Dynobase is detailed as "Professional GUI Client for DynamoDB". Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.
Liquibase and Dynobase 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, Dynobase provides the following key features:
- Faster querying and scanning
- Multiple tables support
- Multiple tabs support
Liquibase is an open source tool with 1.98K GitHub stars and 1.18K 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.