Database clustering involves database replication to achieve high availability (mirroring, redundancy and disaster recovery), workload balancing for performance or scaling (queries, reporting, business intelligence, analytics and data warehousing), maintenance (upgrades, migration, testing and development), database consolidation and other objectives for data access, efficiency and better decision making. It is use database clustering and replication services where the source and target databases are at different version levels and even different types of databases all together, such as PostgreSQl to Oracle replication, or DB2 to SQL. Database clustering can be implemented for a mix of on premise, virtual and cloud environments, using any...