Real Love for Database DevOps💙

We use Liquibase to automate the deployment of database schema changes within our project. Liquibase helps provide consistency, governance and observability into our database infrastructure deployments.

Easy to get started and run from the command line. The compatibility with databases from H2, MySQL to Oracle is a plus. Also, top notch documentation! The Liquibase University sets it apart from the rest.

Liquibase helped to efficiently manage database changes, reduced deployment friction and allowed App teams to focus more on innovation.

An ease of error-prone and quick database deployments both on-prem and on cloud integrated with CI/CD DevOps Automation.

It offers quality checks for DB scripts which helps catch errors also DB pipelines views for changes deployed to DB.

Change log management organize and database changes in a systematic manner. Changes are organized into a series of change sets, each representing a specific change or a set of related changes.

Managing database at a large scale is hard especially for our legacy project for which we needed to add new feature or redesign the database. Liquibase has been a game changer both from the developper experience point of view and the sys op/ admin point of view. Creating , Modifying , deleting databases in our postgres and mysql database has been a breeze and our team can only say great things about how it affected our work.

Recently our company has approved to use the tool in the cloud using Azure Devops pipeline for PostgreSQL. And it does great to build a database environment. Liquibase with dockerization acting as a sandbox works perfect for the target deployment.

We use Liquibase to enable CI/CD for Database Deployments. With the help of Liquibase we have improved our database deployment process. Some specific improvements are : 1. Faster deployments 2. Versioning of Database Code 3. Faster feedback to development process with help of policy checks 4. Quick and reliable rollback process 5. Better Audit of Database changes

Allows you to control changes and perform rollbacks

We use the Liquibase tool for DB deployment automations using the CI/CD process. It helped us a lot by reducing human error with the standard audit reporting structure integrated with it.

Its good tool to manage database version and help to build CI/CD pipe line for Database. It's easy to manage and deploy the database updates.

As database administrator and consultant, Liquibase is a great tool. It frees up DBA time to manually sync database schema between DEV, TEST and PROD environments. By doing schema comparison programally, it gives me the peace of mind that all database objects are identical between different environments. We could also delegate the task to operation team.

We use Liquibase to maintain our changelogs while transforming our data in snowflake and deploying it to test and prod. Liquibase changelogs help us keep up to date with our changes and do the rollback in case of any error. Liquibase also provides many validation features that will come in handy if you want to establish checks during your code deployment. It's a great product with excellent customer service.

Easy to integrate and we can version control the changes by maintaining all the changeset, Also keep track of Database changes same as the code changes. Easily compare databases on difrent environments.

Liquibase is much more powerful compared to Flyway since it is much more flexible in nature. You can apply changes programmatically, works with any kind of database and provides features version controlling database schemas. All these features were missing in Flyway and that's why we chose Liquibase for our database administration needs.

I love the flexibility with the schema changes. I don't have to restrict my team to "only XML" way. It is possible to come up with schema changes in YAML and JSON, which is the order of game nowadays.

It helped us ensure our database changes are scripted and under version control, so we can easily roll back, we can accurately re-deploy to a new database, can have dev databases with an accurate schema, and so on. It also helps us ensure we do all the things we need to do when making a database change, which might otherwise not be done.

Liquibase brought our database changes and data correction processes up to speed with our code deploys which were already automated. It allows us to rely on automated validation as well as fit into our current software development lifecycle processes and CM software using a central versioned artifact capable of being deployed through our current CD pipeline.

The multi-DB support and the support of different rollback scenarios are I think one of the features that are useful. They also listen to their customers and I think the quality metrics feature provides the ability for us to apply organization-specific rules and coding standards.

Liquibase has helped us with implementing reliable version control and a CI/CD pipeline for our data warehousing needs. The space for database version control leaves a lot to be desired, but thankfully Liquibase has that covered! We have paired Liquibase with GitHub and GitHub actions to reliably ensure all of our environments are in sync and easily track our deployments.

Liquibase provides Seamless integration into CI/CD pipelines, ensuring code and database remain in lockstep. Modeling database structure in DBMS agnostic XML instead of SQL helps ease the transition from one DBMS to another. A friendly web console provides a view into which environments have received a specific changeset, enabling a complete view of the database landscape. Finally, their support is on-point! Very friendly support from knowledgable people who are obviously passionate about this product.

Liquibase addresses challenges related to database schema management, version control, collaboration, and deployment automation. Its scope of use cases spans software development, CI/CD, microservices, data migration, compliance. As applications evolve, the database schema might require refactoring. Liquibase supports the controlled refactoring of database structures while preserving data integrity.