Liquibase vs MariaDB

Overview

Liquibase

Stacks639

Followers648

Votes70

GitHub Stars5.3K

Forks1.9K

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Liquibase vs MariaDB: What are the differences?

Data Definition Language (DDL) Support: Liquibase offers comprehensive support for managing database changes, including creating, altering, and dropping database objects like tables, views, and indexes, while MariaDB, being a specific relational database management system, focuses on executing SQL statements related to DDL like creating and altering tables.
Version Control Capability: Liquibase excels in version control management, allowing developers to track, manage, and apply database changes incrementally using changesets. On the other hand, MariaDB lacks built-in version control features and relies on external tools or manual processes for versioning database schemas.
Cross-Database Platform Support: Liquibase provides support for multiple database platforms, enabling developers to apply the same changeset across different databases like MySQL, PostgreSQL, Oracle, and more. In contrast, MariaDB is designed primarily for MySQL compatibility, meaning it might not seamlessly function across diverse database systems without modifications.
Rollback Functionality: Liquibase offers a robust rollback mechanism, allowing users to undo specific changesets or an entire update, ensuring data integrity and consistency in case of errors. MariaDB, while supporting some rollback capabilities, may not provide the same level of granularity and flexibility as Liquibase.
Automation and Scripting: Liquibase enables automation of database changes utilizing scripts, making it easier to deploy changes consistently across multiple environments. MariaDB, while supporting scripting through SQL or other tools, may require additional manual processes or configurations for automating database modifications efficiently.
Schema Evolution Handling: Liquibase simplifies schema evolution by autogenerating SQL scripts to migrate the database schema from one version to another, promoting agile development practices. In contrast, MariaDB users may need to manually write migration scripts or use third-party tools to manage schema evolution effectively.

In Summary, the key differences between Liquibase and MariaDB lie in their support for DDL operations, version control capabilities, cross-database platform compatibility, rollback functionality, automation of database changes, and handling schema evolution.

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Advice on Liquibase, MariaDB

Maxim

student at USI

Aug 25, 2020

Needs adviceon

Node.js

Mongoose

PostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k

Comments

Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k

Comments

Detailed Comparison

Liquibase	MariaDB
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.	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.
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	Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars 5.3K	GitHub Stars 6.6K
GitHub Forks 1.9K	GitHub Forks 1.9K
Stacks 639	Stacks 16.5K
Followers 648	Followers 12.8K
Votes 70	Votes 468
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 No vendor specifics in XML format - needs workarounds 5 Documentation is disorganized	Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup
Integrations
Amazon RDS for MariaDB Travis CI SAP HANA Oracle PostgreSQL Sybase jFrog GitHub Actions Firebird IBM DB2	No integrations available

What are some alternatives to Liquibase, MariaDB?

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

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 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

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

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

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 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.

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

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.

Related Comparisons

Liquibase vs MariaDB: What are the differences?

Data Definition Language (DDL) Support: Liquibase offers comprehensive support for managing database changes, including creating, altering, and dropping database objects like tables, views, and indexes, while MariaDB, being a specific relational database management system, focuses on executing SQL statements related to DDL like creating and altering tables.
Version Control Capability: Liquibase excels in version control management, allowing developers to track, manage, and apply database changes incrementally using changesets. On the other hand, MariaDB lacks built-in version control features and relies on external tools or manual processes for versioning database schemas.
Cross-Database Platform Support: Liquibase provides support for multiple database platforms, enabling developers to apply the same changeset across different databases like MySQL, PostgreSQL, Oracle, and more. In contrast, MariaDB is designed primarily for MySQL compatibility, meaning it might not seamlessly function across diverse database systems without modifications.
Rollback Functionality: Liquibase offers a robust rollback mechanism, allowing users to undo specific changesets or an entire update, ensuring data integrity and consistency in case of errors. MariaDB, while supporting some rollback capabilities, may not provide the same level of granularity and flexibility as Liquibase.
Automation and Scripting: Liquibase enables automation of database changes utilizing scripts, making it easier to deploy changes consistently across multiple environments. MariaDB, while supporting scripting through SQL or other tools, may require additional manual processes or configurations for automating database modifications efficiently.
Schema Evolution Handling: Liquibase simplifies schema evolution by autogenerating SQL scripts to migrate the database schema from one version to another, promoting agile development practices. In contrast, MariaDB users may need to manually write migration scripts or use third-party tools to manage schema evolution effectively.

Liquibase vs MariaDB

Overview