Need advice about which tool to choose?Ask the StackShare community!

Google Cloud SQL

554
580
+ 1
46
Liquibase

445
648
+ 1
70
Add tool

Google Cloud SQL vs Liquibase: What are the differences?

Google Cloud SQL vs Liquibase

Google Cloud SQL and Liquibase are two popular technologies used in web development and database management. While both serve the purpose of working with databases, there are several key differences between the two.

  1. Deployment and Management: Google Cloud SQL is a fully-managed database service provided by Google, which means the deployment and management of the database infrastructure is handled by Google. On the other hand, Liquibase is an open-source library that helps in managing database changes, but it does not provide any infrastructure for deployment and management.

  2. Infrastructure Flexibility: With Google Cloud SQL, the infrastructure is provided by Google, and you have limited control over the underlying hardware and configurations. Liquibase, being a library, gives you the flexibility to work with any database infrastructure of your choice, whether it is cloud-based or on-premises.

  3. Version Control: Liquibase is specifically designed for version control of database schemas and allows developers to track and manage database changes over time. It provides features such as rollback, diff, and change sets. Google Cloud SQL, in contrast, does not have built-in version control capabilities for database schemas.

  4. Collaboration and Teamwork: Liquibase enables collaboration and teamwork by allowing multiple developers to work concurrently on different database changes. It provides features like database refactoring, branching, and merging, which make it easier to manage database changes in a team environment. Google Cloud SQL does not provide built-in support for collaboration and teamwork features.

  5. Vendor Lock-in: When using Google Cloud SQL, there is a level of vendor lock-in as you are tied to Google's infrastructure and services. Liquibase, being an open-source library, can be used with different database vendors, providing more flexibility and minimizing vendor lock-in.

  6. Cost Considerations: While the initial cost of using Liquibase is usually lower as it is an open-source library, the cost of managing and scaling the underlying database infrastructure needs to be considered. Google Cloud SQL offers a pay-as-you-go pricing model, which can be beneficial for smaller projects, but can become expensive for larger-scale applications with increasing storage and compute requirements.

In summary, while Google Cloud SQL offers a fully-managed database service with limited infrastructure flexibility and built-in management tools, Liquibase provides more flexibility in terms of infrastructure choice, version control capabilities, collaboration features, and minimizes vendor lock-in. The choice between the two depends on the specific requirements and preferences of the project.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Google Cloud SQL
Pros of Liquibase
  • 13
    Fully managed
  • 10
    Backed by Google
  • 10
    SQL
  • 4
    Flexible
  • 3
    Encryption at rest and transit
  • 3
    Automatic Software Patching
  • 3
    Replication across multiple zone by default
  • 18
    Great database tool
  • 18
    Many DBs supported
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Unique open source tool
  • 5
    Database version controller
  • 2
    Precondition checking
  • 2
    Supports NoSQL and Graph DBs

Sign up to add or upvote prosMake informed product decisions

Cons of Google Cloud SQL
Cons of Liquibase
    Be the first to leave a con
    • 5
      Documentation is disorganized
    • 5
      No vendor specifics in XML format - needs workarounds

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is Google Cloud SQL?

    Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

    What is Liquibase?

    Liquibase is th 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Google Cloud SQL?
    What companies use Liquibase?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Google Cloud SQL?
    What tools integrate with Liquibase?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Google Cloud SQL and Liquibase?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    Google Cloud Datastore
    Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
    Google Cloud Spanner
    It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    See all alternatives