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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs Liquibase

Galera Cluster vs Liquibase

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks639
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0

Galera Cluster vs Liquibase: What are the differences?

  1. Operation Type: Galera Cluster is a synchronous multi-master clustering solution for MySQL, while Liquibase is a database schema migration tool for tracking, managing, and applying database changes.
  2. Functionality: Galera Cluster focuses on providing high availability by replicating data across multiple nodes in real-time, ensuring data consistency and fault tolerance, whereas Liquibase is designed to manage database schema changes and versioning, allowing developers to track, apply, and roll back database changes in a controlled manner.
  3. Data Replication: In Galera Cluster, data replication occurs synchronously between all nodes in the cluster, ensuring that each node has the same data at any given time, while Liquibase does not handle data replication, focusing solely on managing schema changes and migrations.
  4. Cluster Management: Galera Cluster requires a specific configuration and setup to establish a well-functioning cluster, including node synchronization, quorum requirements, and conflict resolution mechanisms, whereas Liquibase does not involve cluster management and is primarily focused on database schema changes.
  5. Performance Impact: Implementing Galera Cluster can introduce overhead due to synchronous replication and consensus-building processes, potentially impacting write performance, while Liquibase, being a schema migration tool, does not directly impact database performance but can influence application deployment times.
  6. Use Case: Galera Cluster is suitable for scenarios requiring high availability, real-time data synchronization, and automatic failover in MySQL databases, while Liquibase is preferred for managing and automating database schema changes in development, testing, and production environments.

In Summary, the key differences between Galera Cluster and Liquibase lie in their operation type, functionality, data replication approach, cluster management requirements, performance impact, and specific use cases.

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Detailed Comparison

Liquibase
Liquibase
Galera Cluster
Galera Cluster

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.

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

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
True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better performance.
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
639
Stacks
54
Followers
648
Followers
102
Votes
70
Votes
0
Pros & Cons
Pros
  • 18
    Many DBs supported
  • 18
    Great database tool
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
Cons
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds
No community feedback yet
Integrations
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
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB

What are some alternatives to Liquibase, Galera Cluster?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

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.

PostgreSQL

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.

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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.

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