StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs orchestrator

Galera Cluster vs orchestrator

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
orchestrator
orchestrator
Stacks47
Followers24
Votes0

Galera Cluster vs orchestrator: What are the differences?

Introduction: In the world of database management systems, Galera Cluster and orchestrator are two popular tools that serve different purposes when it comes to ensuring high availability and performance.

  1. Replication Method: One key difference between Galera Cluster and orchestrator lies in their replication methods. Galera Cluster utilizes synchronous multi-master replication, allowing for real-time data replication across all nodes in the cluster. On the other hand, orchestrator focuses on managing, orchestrating, and automating failover and recovery processes in a MySQL environment that uses asynchronous replication.

  2. Automatic Failover: Galera Cluster provides automatic failover capabilities by detecting failures and promoting a new primary node if the need arises. However, orchestrator is more focused on monitoring the state of the MySQL replication topology and performing manual failovers when necessary, albeit with the option to automate certain tasks based on predefined rules or policies.

  3. Topology Awareness: Galera Cluster is designed to be topology-aware, meaning it can automatically adjust to changes in the cluster's structure and node configuration without manual intervention. In contrast, orchestrator requires administrators to configure and manage the MySQL replication topology explicitly, making it less adaptive to dynamic changes in the environment.

  4. Role in High Availability: Galera Cluster plays a crucial role in enabling high availability by supporting synchronous replication and automatic failover, which minimizes downtime and data loss in the event of a node failure. On the other hand, orchestrator complements high availability strategies by providing tools for monitoring, detecting, and resolving replication issues, ensuring the overall health and stability of the MySQL environment.

  5. Complexity and Ease of Use: Galera Cluster can be more complex to set up and manage due to its synchronous replication model and multi-master architecture, requiring a deeper understanding of cluster configuration and maintenance processes. In contrast, orchestrator focuses on simplifying the management of MySQL replication topologies and failover processes, offering a more intuitive and user-friendly interface for administrators.

  6. Scalability: While both Galera Cluster and orchestrator support horizontal scalability by adding new nodes to the cluster or replication topology, Galera Cluster's synchronous replication model may introduce certain limitations in terms of scalability compared to orchestrator, especially in large-scale deployments where performance and resource utilization are critical factors.

In Summary, Galera Cluster and orchestrator differ in terms of their replication methods, automatic failover capabilities, topology awareness, role in high availability, complexity, and ease of use, as well as scalability considerations in managing MySQL environments.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Galera Cluster
Galera Cluster
orchestrator
orchestrator

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.

orchestrator actively crawls through your topologies and maps them. It reads basic MySQL info such as replication status and configuration. It provides with slick visualization of your topologies, including replication problems, even in the face of failures.

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.
Controlled master takeovers;Manual failovers;Failover auditing;Audited operations;Pseudo-GTID;Datacenter/physical location awareness;MySQL-Pool association;HTTP security/authentication methods
Statistics
Stacks
54
Stacks
47
Followers
102
Followers
24
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
MySQL
MySQL

What are some alternatives to Galera Cluster, orchestrator?

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase