Database Rider vs Galera Cluster

Overview

Galera Cluster

Stacks54

Followers102

Votes0

Database Rider

Stacks4

Followers7

Votes0

GitHub Stars678

Forks140

Galera Cluster vs Database Rider: What are the differences?

Galera Cluster: A Multi-Master Cluster based on synchronous replication for MySQL. 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; Database Rider: Database testing made easy. It aims for bringing DBUnit closer to your JUnit tests so database testing will feel like a breeze.

Galera Cluster and Database Rider are primarily classified as "Database Cluster Management" and "Database" tools respectively.

Some of the features offered by Galera Cluster are:

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

On the other hand, Database Rider provides the following key features:

Cucumber integration
Multiple database support
Date/time support in datasets

Galera Cluster and Database Rider are both open source tools. It seems that Galera Cluster with 286 GitHub stars and 119 forks on GitHub has more adoption than Database Rider with 214 GitHub stars and 50 GitHub forks.

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Manual

Detailed Comparison

Galera Cluster	Database Rider
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.	It aims for bringing DBUnit closer to your JUnit tests so database testing will feel like a breeze.
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.	Cucumber integration; Multiple database support; Date/time support in datasets; Scriptable datasets with groovy and javascript; Regular expressions in expected datasets; JUnit 5 integration; DataSet export; Connection leak detection; Lot of examples
Statistics
GitHub Stars -	GitHub Stars 678
GitHub Forks -	GitHub Forks 140
Stacks 54	Stacks 4
Followers 102	Followers 7
Votes 0	Votes 0
Integrations
MongoDB PostgreSQL Oracle MySQL SQLFlow MariaDB	YAML JavaScript Groovy Cucumber JUnit JSON

What are some alternatives to Galera Cluster, Database Rider?

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

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 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

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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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

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

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.