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

Galera Cluster vs Spring Data

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

Galera Cluster vs Spring Data: What are the differences?

# Introduction
This markdown presents the key differences between Galera Cluster and Spring Data.

1. **Architecture**: Galera Cluster is a synchronous multi-master database replication solution for MySQL, while Spring Data is a framework that simplifies database access in Java applications.
2. **Use Case**: Galera Cluster is suitable for scenarios where high availability and real-time data replication are crucial, whereas Spring Data is more focused on data access and manipulation within Java applications.
3. **Technology Stack**: Galera Cluster utilizes a shared-nothing architecture with its own clustering technology, while Spring Data works on top of existing databases and ORM frameworks like Hibernate.
4. **Database Support**: Galera Cluster primarily supports MySQL databases, while Spring Data provides support for a wide range of databases like MySQL, PostgreSQL, MongoDB, and more.
5. **Scalability**: Galera Cluster enables easy horizontal scaling by adding more nodes to the cluster, whereas Spring Data focuses on providing abstractions for data access operations and does not directly handle scalability concerns.
6. **Consistency Model**: Galera Cluster ensures strong consistency with immediate data propagation across all nodes, whereas Spring Data allows developers to choose different consistency levels based on their application requirements.

In Summary, Galera Cluster is designed for synchronous multi-master replication with a focus on high availability, while Spring Data simplifies data access in Java applications with support for various databases.

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Detailed Comparison

Galera Cluster
Galera Cluster
Spring Data
Spring Data

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 makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.

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.
Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Statistics
GitHub Stars
-
GitHub Stars
95
GitHub Forks
-
GitHub Forks
84
Stacks
54
Stacks
883
Followers
102
Followers
408
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to Galera Cluster, Spring Data?

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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