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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Liquibase vs PostgreSQL

Liquibase vs PostgreSQL

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
Liquibase
Liquibase
Stacks639
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K

Liquibase vs PostgreSQL: What are the differences?

Introduction: Liquibase is an open-source database-independent change management tool, whereas PostgreSQL is an open-source relational database management system (RDBMS). While Liquibase is used to manage and track changes made to the database schema, PostgreSQL is the actual database engine that stores and retrieves data.

  1. Version Control: One key difference between Liquibase and PostgreSQL is that Liquibase provides built-in version control capabilities for database schema, making it easy to manage and track changes over time. On the other hand, PostgreSQL does not have built-in version control features, so developers have to rely on external tools or manual processes to track and manage schema changes.

  2. Cross-Platform Compatibility: Liquibase is designed to be database-agnostic, which means it can be used with various database systems, including PostgreSQL. It provides a consistent way to manage schema changes regardless of the underlying database engine. In contrast, PostgreSQL is a specific RDBMS and is not compatible with other database systems out of the box. It is optimized for running on PostgreSQL server instances only.

  3. Data Manipulation Language (DML): Liquibase focuses primarily on managing database schema changes, such as adding or modifying tables, columns, and constraints. It does not provide extensive support for writing complex data manipulation queries or stored procedures. PostgreSQL, on the other hand, offers a powerful and comprehensive DML language, including SQL, procedural languages like PL/pgSQL, and a vast array of built-in functions for data manipulation.

  4. Concurrency and Isolation: Liquibase is a single-threaded tool used primarily during development and deployment processes. It does not handle concurrent transactions or provide isolation mechanisms for handling concurrent access to the database. PostgreSQL, being a fully-fledged RDBMS, offers multi-user concurrency control and various isolation levels to handle concurrent transactions effectively.

  5. Performance and Scalability: Liquibase is not designed to handle high-volume or high-concurrency workloads efficiently. It is meant to be used as a development and deployment tool. On the other hand, PostgreSQL is optimized for performance and scalability, capable of handling large and complex databases with millions of transactions per second.

  6. Expensive Operations: Liquibase does not have built-in mechanisms to handle expensive operations like index rebuilding, table partitioning, or advanced query optimization. These operations need to be handled separately outside of Liquibase. In comparison, PostgreSQL provides tools and optimization techniques to handle these expensive operations efficiently, ensuring the database performs at its best.

In Summary, Liquibase provides version control, cross-platform compatibility, and schema change management, while PostgreSQL offers advanced data manipulation capabilities, concurrency control, performance, scalability, and tools for handling expensive operations on the database.

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Advice on PostgreSQL, Liquibase

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

PostgreSQL
PostgreSQL
Liquibase
Liquibase

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.

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.

-
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
19.0K
GitHub Stars
5.3K
GitHub Forks
5.2K
GitHub Forks
1.9K
Stacks
103.0K
Stacks
639
Followers
83.9K
Followers
648
Votes
3.6K
Votes
70
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
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
Sybase
Sybase
jFrog
jFrog
GitHub Actions
GitHub Actions
Firebird
Firebird
IBM DB2
IBM DB2
VoltDB
VoltDB

What are some alternatives to PostgreSQL, Liquibase?

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.

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.

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.

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