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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. Google Cloud SQL vs Liquibase

Google Cloud SQL vs Liquibase

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
Liquibase
Liquibase
Stacks639
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K

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.

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
Liquibase
Liquibase

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

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.

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Supports code branching and merging;Supports multiple developers;Supports multiple database types;Supports XML, YAML, JSON and SQL formats;Supports context-dependent logic;Cluster-safe database upgrades;Generate Database change documentation;Rollbacks;Generate Database "diff's";Run through your build process, embedded in your application or on demand;Automatically generate SQL scripts for DBA code review;Does not require a live database connection;Stored logic
Statistics
GitHub Stars
-
GitHub Stars
5.3K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
555
Stacks
639
Followers
580
Followers
648
Votes
46
Votes
70
Pros & Cons
Pros
  • 13
    Fully managed
  • 10
    Backed by Google
  • 10
    SQL
  • 4
    Flexible
  • 3
    Replication across multiple zone by default
Pros
  • 18
    Great database tool
  • 18
    Many DBs supported
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
Cons
  • 5
    No vendor specifics in XML format - needs workarounds
  • 5
    Documentation is disorganized
Integrations
No integrations available
Amazon RDS for MariaDB
Amazon RDS for MariaDB
Travis CI
Travis CI
SAP HANA
SAP HANA
Oracle
Oracle
PostgreSQL
PostgreSQL
Sybase
Sybase
jFrog
jFrog
GitHub Actions
GitHub Actions
Firebird
Firebird
IBM DB2
IBM DB2

What are some alternatives to Google Cloud SQL, Liquibase?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Amazon Aurora

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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