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

Galera Cluster vs Patroni

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
Patroni
Patroni
Stacks22
Followers41
Votes0

Galera Cluster vs Patroni: What are the differences?

Introduction:

Galera Cluster and Patroni are both open-source tools used for managing database clusters, but they have key differences that make them suited for different use cases.

1. High Availability Mechanism: Galera Cluster utilizes a virtually synchronous replication method for ensuring high availability, which means that transactions are committed on all nodes before being considered complete. On the other hand, Patroni uses asynchronous replication and synchronous commit to achieve high availability, with transactions being sent to the primary node first then replicated to the replicas.

2. Supported Databases: Galera Cluster is primarily designed for MySQL and MariaDB databases, providing synchronous multi-master replication for them. In contrast, Patroni is targeted towards PostgreSQL databases, offering automated management and failover capabilities specifically for this database management system.

3. Configuration Management: Galera Cluster requires a complex configuration setup, including configuration files for each node and a shared configuration file. Patroni simplifies configuration management by using a single YAML configuration file that defines the cluster structure, replication settings, and failover parameters in an easily readable format.

4. Failover Handling: Galera Cluster relies on a built-in Quorum mechanism to handle failovers and prevent split-brain scenarios, ensuring data consistency across the cluster. Patroni utilizes leader election and consensus algorithms to manage failovers and elect a new primary node when the current one fails, providing automatic failover without the risk of conflicting writes.

5. Monitoring and Alerting: Galera Cluster lacks built-in monitoring and alerting features, requiring external tools for monitoring cluster health and performance. Patroni includes built-in monitoring capabilities through integration with tools like PgBouncer and Prometheus, offering real-time insights into cluster status and performance metrics.

6. Client Connectivity: Galera Cluster supports client connections to any node in the cluster, allowing read and write operations on any node. In contrast, Patroni restricts client connections to the primary node for write operations, while read operations can be distributed among all nodes in the cluster.

In Summary, Galera Cluster and Patroni differ in high availability mechanisms, supported databases, configuration management, failover handling, monitoring capabilities, and client connectivity preferences.

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Detailed Comparison

Galera Cluster
Galera Cluster
Patroni
Patroni

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.

Patroni is a template for you to create your own customized, high-availability solution using Python and - for maximum accessibility - a distributed configuration store like ZooKeeper, etcd or Consul. Database engineers, DBAs, DevOps engineers, and SREs who are looking to quickly deploy HA PostgreSQL in the datacenter-or anywhere else-will hopefully find it useful.

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.
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Statistics
Stacks
54
Stacks
22
Followers
102
Followers
41
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
PostgreSQL
PostgreSQL
Zookeeper
Zookeeper
etcd
etcd
Consul
Consul
HAProxy
HAProxy

What are some alternatives to Galera Cluster, Patroni?

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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