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.