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

Galera Cluster vs PostgreSQL

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0

Galera Cluster vs PostgreSQL: What are the differences?

Introduction

Galera Cluster and PostgreSQL are both popular options for managing and organizing databases. However, they have some key differences that set them apart. In this article, we will explore the main variations between Galera Cluster and PostgreSQL.

  1. Scalability: Galera Cluster is a distributed multi-master database system, allowing it to provide high availability and scalability. It allows for synchronous replication, meaning all nodes are kept in sync at all times. On the other hand, PostgreSQL is a traditional RDBMS that offers asynchronous replication, which can create some latency and delay in data propagation.

  2. Architecture: Galera Cluster is based on a plugin for the MariaDB and MySQL databases. It uses the write-set replication method to achieve synchronous replication. PostgreSQL, on the other hand, follows a master-slave replication model, where a single master node handles writes, and slave nodes replicate data from the master asynchronously.

  3. Conflict Resolution: With Galera Cluster, when conflicting operations occur on different nodes, they are automatically resolved based on a strict quorum model. This means that only a single version of a row will be considered valid across all nodes. In PostgreSQL, conflict resolution is performed manually, requiring developers to handle and resolve conflicts themselves.

  4. Compatibility: Galera Cluster continues to be closely tied to the MySQL and MariaDB databases, relying on their syntax and features. PostgreSQL, on the other hand, is an independent and feature-rich database system that follows the SQL standard more strictly.

  5. Replication Delay: Due to its synchronous replication, Galera Cluster ensures that all nodes have identical data at all times. This eliminates data discrepancies but may introduce some latency and potential performance impact. PostgreSQL's asynchronous replication allows for greater flexibility and potentially lower replication delay, but it can result in data inconsistencies during failover.

  6. Flexibility: Galera Cluster's multi-master architecture allows for reads and writes to happen on any node, providing better load balancing and high availability. PostgreSQL, being a master-slave system, requires all writes to go through the master node, which can become a bottleneck in high-write environments.

In summary, Galera Cluster provides a high level of availability and scalability with synchronous replication, automatic conflict resolution, and multi-master capabilities. PostgreSQL, on the other hand, offers more flexibility and compatibility as an independent database system with asynchronous replication and manual conflict resolution.

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Advice on PostgreSQL, Galera Cluster

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
Galera Cluster
Galera Cluster

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.

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.

-
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
19.0K
GitHub Stars
-
GitHub Forks
5.2K
GitHub Forks
-
Stacks
103.0K
Stacks
54
Followers
83.9K
Followers
102
Votes
3.6K
Votes
0
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
No community feedback yet
Integrations
No integrations available
MongoDB
MongoDB
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB

What are some alternatives to PostgreSQL, 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.

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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