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

Debezium vs Galera Cluster

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
Debezium
Debezium
Stacks122
Followers121
Votes0
GitHub Stars12.0K
Forks2.8K

Debezium vs Galera Cluster: What are the differences?

# Introduction

Key differences between Debezium and Galera Cluster are outlined below:

1. **Replication Methodology**: Debezium is a distributed platform that captures changes from database transaction logs, while Galera Cluster replicates data synchronously across all nodes in a cluster.
2. **Database Support**: Debezium primarily focuses on capturing and streaming changes from various databases such as MySQL, PostgreSQL, and MongoDB, whereas Galera Cluster is developed specifically for MySQL databases.
3. **Data Consistency**: Debezium guarantees eventual consistency between the source and destination databases, whereas Galera Cluster ensures strong consistency by employing the Multi-Master Replication technique.
4. **Conflict Resolution**: Debezium relies on the CDC (Change Data Capture) to resolve conflicts during data replication, while Galera Cluster utilizes a built-in mechanism to handle conflicts in a multi-master replication setting.
5. **Scalability**: Debezium can scale horizontally by adding more connectors to handle large volumes of data, while Galera Cluster scales vertically by adding more nodes to the cluster.
6. **Deployment Complexity**: Debezium integration involves setting up connectors and appropriate configurations, usually simpler compared to the setup complexity of Galera Cluster with its requirement for specific cluster configurations and management.

In Summary, Debezium and Galera Cluster differ in their replication methodology, database support, data consistency, conflict resolution approach, scalability options, and deployment complexity.

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Detailed Comparison

Galera Cluster
Galera Cluster
Debezium
Debezium

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.

Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. It is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.

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.
Do more with your data; Simplify your apps; Never miss a beat; React quickly
Statistics
GitHub Stars
-
GitHub Stars
12.0K
GitHub Forks
-
GitHub Forks
2.8K
Stacks
54
Stacks
122
Followers
102
Followers
121
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
PostgreSQL
PostgreSQL
Kafka
Kafka
MySQL
MySQL
MariaDB
MariaDB
MongoDB
MongoDB
OctoSQL
OctoSQL
SQLite
SQLite

What are some alternatives to Galera Cluster, Debezium?

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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