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

Hibernate vs Liquibase

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks638
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0

Hibernate vs Liquibase: What are the differences?

Introduction

In the world of software development, two popular tools for managing databases are Hibernate and Liquibase. While both are used to manage database schema and maintain data integrity, there are key differences between them that make them unique in their own ways.

  1. Hibernate: Hibernate is an Object-Relational Mapping (ORM) framework that enables developers to map Java objects to relational database tables. It provides an abstraction layer and allows developers to work with Java objects rather than writing SQL queries. Hibernate provides features like automatic database schema generation, caching, and lazy loading.

  2. Liquibase: Liquibase, on the other hand, is a database migration tool that allows developers to manage database changes and version control. It provides a declarative way of defining database changes using XML, YAML, or SQL files. Liquibase tracks the changes made to the database schema and applies them in the correct order when the application starts up.

  3. Approach: Hibernate follows an object-oriented approach and focuses on mapping Java objects to database tables. It abstracts away the low-level database operations and provides an object-oriented querying language. Liquibase, on the other hand, follows a declarative approach where database changes are defined using XML, YAML, or SQL files.

  4. Schema Evolution: Hibernate provides automatic database schema generation based on the Java object mappings. It can create or alter tables, columns, and relationships based on the entities defined in the Java code. Liquibase, on the other hand, allows developers to manage the database schema evolution manually using change sets. It provides more control over the database schema evolution process.

  5. Database Support: Hibernate supports various databases like MySQL, Oracle, PostgreSQL, etc. It abstracts away the differences between different database systems and provides a consistent interface. Liquibase, on the other hand, supports a wide range of databases and can manage schema changes across different database systems.

  6. Version Control: Liquibase provides built-in support for version control, allowing developers to track and manage database changes over time. It maintains a changelog that records the changes made to the database schema and allows easy rollback to previous versions. Hibernate, on the other hand, does not have built-in version control support. It focuses more on the object-relational mapping aspect rather than managing database changes over time.

In summary, Hibernate is an ORM framework that focuses on mapping Java objects to database tables and provides features like automatic schema generation and object-oriented querying. Liquibase, on the other hand, is a database migration tool that allows developers to manage database changes using a declarative approach and provides version control support.

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Detailed Comparison

Liquibase
Liquibase
Hibernate
Hibernate

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.

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

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
5.3K
GitHub Stars
0
GitHub Forks
1.9K
GitHub Forks
0
Stacks
638
Stacks
1.8K
Followers
648
Followers
1.2K
Votes
70
Votes
34
Pros & Cons
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
Pros
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
  • 1
    Open Source
Cons
  • 3
    Can't control proxy associations when entity graph used
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
Java
Java

What are some alternatives to Liquibase, Hibernate?

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.

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.

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

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.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

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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